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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_4-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://hug... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_mouse_4-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_4096_512_15M-L8 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T21:23:42+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_mouse\_4-seqsight\_4096\_512\_15M-L8
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6859
* F1 Score: 0.5902
* Accuracy: ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | janny127/autotrain-5e45b-p5z66 | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_4-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_mouse_4-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_4096_512_15M-L32 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T21:31:06+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_mouse\_4-seqsight\_4096\_512\_15M-L32
==========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6782
* F1 Score: 0.6017
* Accuracy... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_3-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://hug... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_mouse_3-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_4096_512_15M-L1 | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_mouse\_3-seqsight\_4096\_512\_15M-L1
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5636
* F1 Score: 0.7113
* Accuracy: ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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text-to-image | diffusers |
# Kohaku V5 API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "kohaku-v5"
Coding in PHP/... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/kohaku-v5 | null | [
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#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Kohaku V5 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "kohaku-v5"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View model... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_3-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://hug... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_mouse_3-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_4096_512_15M-L8 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T21:31:32+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_mouse\_3-seqsight\_4096\_512\_15M-L8
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7120
* F1 Score: 0.6847
* Accuracy: ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/27alkjr | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T21:33:36+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_darkmatter-ian-tt-v0
This model is a fine-tuned version of [stanford-crfm/darkmatter-gpt2-small-x343](https://hugging... | {"tags": ["generated_from_trainer"], "base_model": "stanford-crfm/darkmatter-gpt2-small-x343", "model-index": [{"name": "robust_llm_darkmatter-ian-tt-v0", "results": []}]} | AlignmentResearch/robust_llm_darkmatter-ian-tt-v0 | null | [
"transformers",
"safetensors",
"gpt2",
"text-classification",
"generated_from_trainer",
"base_model:stanford-crfm/darkmatter-gpt2-small-x343",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T21:34:31+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-classification #generated_from_trainer #base_model-stanford-crfm/darkmatter-gpt2-small-x343 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_darkmatter-ian-tt-v0
This model is a fine-tuned version of stanford-crfm/darkmatter-gpt2-small-x343 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v1_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v1_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: downlo... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "dora", "template:sd-lora", "edm-training"], "inference": {"parameters": {"scheduler": "EulerDiscreteScheduler"}}, "widget": [{"text": "a <s0><s1> emoji dressed as an easter bun... | linoyts/huggy_dora_edm_v1_pivotal | null | [
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"stable-diffusion-xl-diffusers",
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"dora",
"template:sd-lora",
"edm-training",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-01T21:34:48+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #dora #template-sd-lora #edm-training #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v1_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v1_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download '... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | Pr123/TinyLlama-EA-Chat | null | [
"peft",
"safetensors",
"has_space",
"region:us"
] | null | 2024-04-01T21:35:22+00:00 | [] | [] | TAGS
#peft #safetensors #has_space #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_3-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_mouse_3-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_4096_512_15M-L32 | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_mouse\_3-seqsight\_4096\_512\_15M-L32
==========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8743
* F1 Score: 0.6901
* Accuracy... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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text-to-image | diffusers | # SD 1.5 Big G (alpha)
This is a Stable Diffusion 1.5 model, but it uses the [CLIP Big G](https://huggingface.co/laion/CLIP-ViT-bigG-14-laion2B-39B-b160k) text encoder instead of the original [CLIP-L](https://huggingface.co/openai/clip-vit-large-patch14) text encoder.
This is just a knowledge transfer pre-train with ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "pipeline_tag": "text-to-image"} | ostris/sd15-big-g-alpha | null | [
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#diffusers #safetensors #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| # SD 1.5 Big G (alpha)
This is a Stable Diffusion 1.5 model, but it uses the CLIP Big G text encoder instead of the original CLIP-L text encoder.
This is just a knowledge transfer pre-train with the goal of preserving the current knowledge of the model.
It was only trained using student/teacher training from my SD 1... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_2-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://hug... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_mouse_2-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_4096_512_15M-L1 | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_mouse\_2-seqsight\_4096\_512\_15M-L1
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5736
* F1 Score: 0.8139
* Accuracy: ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_caprica-ian-tt-v0
This model is a fine-tuned version of [stanford-crfm/caprica-gpt2-small-x81](https://huggingface.co... | {"tags": ["generated_from_trainer"], "base_model": "stanford-crfm/caprica-gpt2-small-x81", "model-index": [{"name": "robust_llm_caprica-ian-tt-v0", "results": []}]} | AlignmentResearch/robust_llm_caprica-ian-tt-v0 | null | [
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|
# robust_llm_caprica-ian-tt-v0
This model is a fine-tuned version of stanford-crfm/caprica-gpt2-small-x81 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_expanse-ian-tt-v0
This model is a fine-tuned version of [stanford-crfm/expanse-gpt2-small-x777](https://huggingface.c... | {"tags": ["generated_from_trainer"], "base_model": "stanford-crfm/expanse-gpt2-small-x777", "model-index": [{"name": "robust_llm_expanse-ian-tt-v0", "results": []}]} | AlignmentResearch/robust_llm_expanse-ian-tt-v0 | null | [
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] | null | 2024-04-01T21:40:39+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-classification #generated_from_trainer #base_model-stanford-crfm/expanse-gpt2-small-x777 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_expanse-ian-tt-v0
This model is a fine-tuned version of stanford-crfm/expanse-gpt2-small-x777 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Shaleen123/phi-2-code | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_durin-ian-tt-v0
This model is a fine-tuned version of [stanford-crfm/durin-gpt2-medium-x343](https://huggingface.co/s... | {"tags": ["generated_from_trainer"], "base_model": "stanford-crfm/durin-gpt2-medium-x343", "model-index": [{"name": "robust_llm_durin-ian-tt-v0", "results": []}]} | AlignmentResearch/robust_llm_durin-ian-tt-v0 | null | [
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] | null | 2024-04-01T21:42:48+00:00 | [] | [] | TAGS
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|
# robust_llm_durin-ian-tt-v0
This model is a fine-tuned version of stanford-crfm/durin-gpt2-medium-x343 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_2-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_mouse_2-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_4096_512_15M-L32 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T21:44:28+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_mouse\_2-seqsight\_4096\_512\_15M-L32
==========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9263
* F1 Score: 0.7927
* Accuracy... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_2-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://hug... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_mouse_2-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_4096_512_15M-L8 | null | [
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"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
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] | null | 2024-04-01T21:44:28+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_mouse\_2-seqsight\_4096\_512\_15M-L8
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6604
* F1 Score: 0.7926
* Accuracy: ... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_splice_reconstructed-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_4096_512_15M-L1 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T21:45:29+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_splice\_reconstructed-seqsight\_4096\_512\_15M-L1
======================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation set:
* Loss:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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text-to-image | diffusers |
# Brainime API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "brainime"
Coding in PHP/N... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/brainime | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-01T21:47:13+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Brainime API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "brainime"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View model
... | [
"# Brainime API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"brainime\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate Images\n\nM... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# Brainime API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. ... | [
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"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# Brainime API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace ... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_celebrimbor-ian-tt-v0
This model is a fine-tuned version of [stanford-crfm/celebrimbor-gpt2-medium-x81](https://huggi... | {"tags": ["generated_from_trainer"], "base_model": "stanford-crfm/celebrimbor-gpt2-medium-x81", "model-index": [{"name": "robust_llm_celebrimbor-ian-tt-v0", "results": []}]} | AlignmentResearch/robust_llm_celebrimbor-ian-tt-v0 | null | [
"transformers",
"safetensors",
"gpt2",
"text-classification",
"generated_from_trainer",
"base_model:stanford-crfm/celebrimbor-gpt2-medium-x81",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T21:47:27+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-classification #generated_from_trainer #base_model-stanford-crfm/celebrimbor-gpt2-medium-x81 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_celebrimbor-ian-tt-v0
This model is a fine-tuned version of stanford-crfm/celebrimbor-gpt2-medium-x81 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
"# robust_llm_celebrimbor-ian-tt-v0\n\nThis model is a fine-tuned version of stanford-crfm/celebrimbor-gpt2-medium-x81 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information n... | [
"TAGS\n#transformers #safetensors #gpt2 #text-classification #generated_from_trainer #base_model-stanford-crfm/celebrimbor-gpt2-medium-x81 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_celebrimbor-ian-tt-v0\n\nThis model is a fine-tuned version of stanford-cr... | [
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"TAGS\n#transformers #safetensors #gpt2 #text-classification #generated_from_trainer #base_model-stanford-crfm/celebrimbor-gpt2-medium-x81 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_celebrimbor-ian-tt-v0\n\nThis model is a fine-tuned version of stanford-crfm/cel... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_splice_reconstructed-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_4096_512_15M-L8 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T21:48:51+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_splice\_reconstructed-seqsight\_4096\_512\_15M-L8
======================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation set:
* Loss:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_eowyn-ian-tt-v0
This model is a fine-tuned version of [stanford-crfm/eowyn-gpt2-medium-x777](https://huggingface.co/s... | {"tags": ["generated_from_trainer"], "base_model": "stanford-crfm/eowyn-gpt2-medium-x777", "model-index": [{"name": "robust_llm_eowyn-ian-tt-v0", "results": []}]} | AlignmentResearch/robust_llm_eowyn-ian-tt-v0 | null | [
"transformers",
"safetensors",
"gpt2",
"text-classification",
"generated_from_trainer",
"base_model:stanford-crfm/eowyn-gpt2-medium-x777",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T21:49:02+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-classification #generated_from_trainer #base_model-stanford-crfm/eowyn-gpt2-medium-x777 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_eowyn-ian-tt-v0
This model is a fine-tuned version of stanford-crfm/eowyn-gpt2-medium-x777 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
"# robust_llm_eowyn-ian-tt-v0\n\nThis model is a fine-tuned version of stanford-crfm/eowyn-gpt2-medium-x777 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"... | [
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"# robust_llm_eowyn-ian-tt-v0\n\nThis model is a fine-tuned version of stanford-crfm/eowyn-gp... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_splice_reconstructed-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_4096_512_15M-L32 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T21:49:31+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_splice\_reconstructed-seqsight\_4096\_512\_15M-L32
=======================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation set:
* Los... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# w2v2-base-pretrained_lr5e-5_at0.6_da1
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/face... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "w2v2-base-pretrained_lr5e-5_at0.6_da1", "results": []}]} | MelanieKoe/w2v2-base-pretrained_lr5e-5_at0.6_da1 | null | [
"transformers",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T21:49:43+00:00 | [] | [] | TAGS
#transformers #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| w2v2-base-pretrained\_lr5e-5\_at0.6\_da1
========================================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4078
* Wer: 0.1662
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# w2v2-base-pretrained_lr5e-5_at0.1_da1
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/face... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "w2v2-base-pretrained_lr5e-5_at0.1_da1", "results": []}]} | MelanieKoe/w2v2-base-pretrained_lr5e-5_at0.1_da1 | null | [
"transformers",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T21:50:32+00:00 | [] | [] | TAGS
#transformers #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| w2v2-base-pretrained\_lr5e-5\_at0.1\_da1
========================================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1584
* Wer: 0.1683
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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null | transformers | ## About
static quants of https://huggingface.co/migtissera/Tess-2.0-Mixtral
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Tess-2.0-Mixtral-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheB... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "migtissera/Tess-2.0-Mixtral", "quantized_by": "mradermacher"} | mradermacher/Tess-2.0-Mixtral-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"en",
"base_model:migtissera/Tess-2.0-Mixtral",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T21:51:57+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-migtissera/Tess-2.0-Mixtral #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-migtissera/Tess-2.0-Mixtral #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
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] |
null | transformers | ## About
static quants of https://huggingface.co/Kukedlc/NeuralStock-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discu... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "liminerity/M7-7b", "Gille/StrangeMerges_32-7B-slerp", "automerger/YamShadow-7B"], "base_model": "Kukedlc/NeuralStock-7B", "quantized_by": "mradermacher"} | mradermacher/NeuralStock-7B-GGUF | null | [
"transformers",
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"merge",
"mergekit",
"lazymergekit",
"liminerity/M7-7b",
"Gille/StrangeMerges_32-7B-slerp",
"automerger/YamShadow-7B",
"en",
"base_model:Kukedlc/NeuralStock-7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T21:52:33+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #liminerity/M7-7b #Gille/StrangeMerges_32-7B-slerp #automerger/YamShadow-7B #en #base_model-Kukedlc/NeuralStock-7B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #liminerity/M7-7b #Gille/StrangeMerges_32-7B-slerp #automerger/YamShadow-7B #en #base_model-Kukedlc/NeuralStock-7B #endpoints_compatible #region-us \n"
] | [
80
] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #liminerity/M7-7b #Gille/StrangeMerges_32-7B-slerp #automerger/YamShadow-7B #en #base_model-Kukedlc/NeuralStock-7B #endpoints_compatible #region-us \n"
] |
text-to-image | diffusers |
# Brixel Brain API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "brixel-brain"
Coding i... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/brixel-brain | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-01T21:54:52+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Brixel Brain API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "brixel-brain"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View... | [
"# Brixel Brain API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"brixel-brain\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate Ima... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# Brixel Brain API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment need... | [
54,
12,
511
] | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# Brixel Brain API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nRepl... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_0-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggin... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_0-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_4096_512_15M-L1 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T21:57:31+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_0-seqsight\_4096\_512\_15M-L1
======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5183
* F1 Score: 0.7320
* Accuracy: 0.734
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
43,
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lunarsylph/stablecell_v29 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T21:58:12+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
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"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_0-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggin... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_0-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_4096_512_15M-L8 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T21:58:23+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_0-seqsight\_4096\_512\_15M-L8
======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5138
* F1 Score: 0.7512
* Accuracy: 0.753
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
43,
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-finetuned-abbr-WeightDecay0.0001
This model is a fine-tuned version of [surrey-nlp/roberta-large-finetuned-abbr](h... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "surrey-nlp/roberta-large-finetuned-abbr", "model-index": [{"name": "roberta-large-finetuned-abbr-WeightDecay0.0001", "results": []}]} | karsimkh/roberta-large-finetuned-abbr-WeightDecay0.0001 | null | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"generated_from_trainer",
"base_model:surrey-nlp/roberta-large-finetuned-abbr",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T21:58:55+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #token-classification #generated_from_trainer #base_model-surrey-nlp/roberta-large-finetuned-abbr #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# roberta-large-finetuned-abbr-WeightDecay0.0001
This model is a fine-tuned version of surrey-nlp/roberta-large-finetuned-abbr on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1000
- Precision: 0.9872
- Recall: 0.9827
- F1: 0.9849
- Accuracy: 0.9832
## Model description
Mo... | [
"# roberta-large-finetuned-abbr-WeightDecay0.0001\n\nThis model is a fine-tuned version of surrey-nlp/roberta-large-finetuned-abbr on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.1000\n- Precision: 0.9872\n- Recall: 0.9827\n- F1: 0.9849\n- Accuracy: 0.9832",
"## Model d... | [
"TAGS\n#transformers #safetensors #roberta #token-classification #generated_from_trainer #base_model-surrey-nlp/roberta-large-finetuned-abbr #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"# roberta-large-finetuned-abbr-WeightDecay0.0001\n\nThis model is a fine-tuned version of surrey-nl... | [
57,
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"TAGS\n#transformers #safetensors #roberta #token-classification #generated_from_trainer #base_model-surrey-nlp/roberta-large-finetuned-abbr #license-mit #autotrain_compatible #endpoints_compatible #region-us \n# roberta-large-finetuned-abbr-WeightDecay0.0001\n\nThis model is a fine-tuned version of surrey-nlp/robe... |
text-to-image | diffusers |
# Amore API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "amore"
Coding in PHP/Node/Ja... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/amore | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-01T22:01:05+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Amore API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "amore"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View model
View a... | [
"# Amore API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"amore\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate Images\n\nModel l... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# Amore API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\... | [
54,
9,
503
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"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# Amore API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key... |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ericizepic/T5-Address_Std_v6 | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T22:01:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been push... | [
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text-to-image | diffusers |
# Anime Pastel Dream API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "anime-pastel-drea... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/anime-pastel-dream | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-01T22:04:21+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Anime Pastel Dream API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "anime-pastel-dream"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Mode... | [
"# Anime Pastel Dream API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"anime-pastel-dream\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: ... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# Anime Pastel Dream API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Paymen... | [
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"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# Anime Pastel Dream API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_0-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggi... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_0-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_4096_512_15M-L32 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:10:23+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_0-seqsight\_4096\_512\_15M-L32
=======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5308
* F1 Score: 0.7527
* Accuracy: 0.754
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
43,
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712009411260x543842213569553700
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Theuzs/US_agent"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712009411260x543842213569553700 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:Theuzs/US_agent",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-01T22:10:27+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Theuzs/US_agent #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712009411260x543842213569553700
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
"# LoRA DreamBooth - squaadinc/1712009411260x543842213569553700\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Theuzs/US_agent #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n",
"# LoRA DreamBooth - squaadinc/1712009411260x543842213569553700\nThese are LoRA adaption weights for stabilityai/stable-diffusion... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_1-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggin... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_1-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_4096_512_15M-L1 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:11:45+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_1-seqsight\_4096\_512\_15M-L1
======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4768
* F1 Score: 0.7659
* Accuracy: 0.767
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
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text-generation | transformers | This is the one-directional model trained on 7 protein families.
Check out the [github repo](https://github.com/hugohrban/ProGen2-finetuning) for more information.
Example usage:
```python
from transformers import AutoModelForCausalLM
from tokenizers import Tokenizer
# optionally use local imports
# from models.prog... | {"license": "bsd-3-clause", "tags": ["protein", "progen2"]} | hugohrban/progen2-small-mix7 | null | [
"transformers",
"safetensors",
"progen",
"text-generation",
"protein",
"progen2",
"custom_code",
"license:bsd-3-clause",
"autotrain_compatible",
"region:us"
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#transformers #safetensors #progen #text-generation #protein #progen2 #custom_code #license-bsd-3-clause #autotrain_compatible #region-us
| This is the one-directional model trained on 7 protein families.
Check out the github repo for more information.
Example usage:
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# framing_classification_longformer_50
This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "allenai/longformer-base-4096", "model-index": [{"name": "framing_classification_longformer_50", "results": []}]} | AriyanH22/framing_classification_longformer_50 | null | [
"transformers",
"pytorch",
"longformer",
"text-classification",
"generated_from_trainer",
"base_model:allenai/longformer-base-4096",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T22:14:13+00:00 | [] | [] | TAGS
#transformers #pytorch #longformer #text-classification #generated_from_trainer #base_model-allenai/longformer-base-4096 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| framing\_classification\_longformer\_50
=======================================
This model is a fine-tuned version of allenai/longformer-base-4096 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3739
* Accuracy: 0.9332
* F1: 0.9608
* Precision: 0.9394
* Recall: 0.9832
Mod... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 50",
"### Trainin... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learnin... | [
61,
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"TAGS\n#transformers #pytorch #longformer #text-classification #generated_from_trainer #base_model-allenai/longformer-base-4096 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_ra... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_1-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggin... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_1-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_4096_512_15M-L8 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:18:32+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_1-seqsight\_4096\_512\_15M-L8
======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4642
* F1 Score: 0.7624
* Accuracy: 0.763
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0son0/m_305 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T22:19:17+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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null | transformers | ## About
weighted/imatrix quants of https://huggingface.co/ChuckMcSneed/WinterGoliath-123b-32k
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/WinterGoliath-123b-32k-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingf... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["merge", "mergekit"], "base_model": "ChuckMcSneed/WinterGoliath-123b-32k", "quantized_by": "mradermacher"} | mradermacher/WinterGoliath-123b-32k-i1-GGUF | null | [
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"en"
] | TAGS
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #en #base_model-ChuckMcSneed/WinterGoliath-123b-32k #license-llama2 #endpoints_compatible #region-us \n"
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"TAGS\n#transformers #gguf #merge #mergekit #en #base_model-ChuckMcSneed/WinterGoliath-123b-32k #license-llama2 #endpoints_compatible #region-us \n"
] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_1-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggi... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_1-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_4096_512_15M-L32 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:23:10+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_1-seqsight\_4096\_512\_15M-L32
=======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4743
* F1 Score: 0.7632
* Accuracy: 0.765
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_4-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggin... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_4-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_4096_512_15M-L1 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:23:26+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_4-seqsight\_4096\_512\_15M-L1
======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5278
* F1 Score: 0.7383
* Accuracy: 0.74
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_4-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggin... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_4-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_4096_512_15M-L8 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:23:58+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_4-seqsight\_4096\_512\_15M-L8
======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5948
* F1 Score: 0.7398
* Accuracy: 0.74
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_4-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggi... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_4-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_4096_512_15M-L32 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:24:16+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_4-seqsight\_4096\_512\_15M-L32
=======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7633
* F1 Score: 0.7238
* Accuracy: 0.724
... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-finetuned-abbr-Epoch12
This model is a fine-tuned version of [surrey-nlp/roberta-large-finetuned-abbr](https://hug... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "surrey-nlp/roberta-large-finetuned-abbr", "model-index": [{"name": "roberta-large-finetuned-abbr-Epoch12", "results": []}]} | karsimkh/roberta-large-finetuned-abbr-Epoch12 | null | [
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"region:us"
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|
# roberta-large-finetuned-abbr-Epoch12
This model is a fine-tuned version of surrey-nlp/roberta-large-finetuned-abbr on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1864
- Precision: 0.9833
- Recall: 0.9784
- F1: 0.9809
- Accuracy: 0.9778
## Model description
More informa... | [
"# roberta-large-finetuned-abbr-Epoch12\n\nThis model is a fine-tuned version of surrey-nlp/roberta-large-finetuned-abbr on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.1864\n- Precision: 0.9833\n- Recall: 0.9784\n- F1: 0.9809\n- Accuracy: 0.9778",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | giantdev/sn6_09sh61 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_3-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggin... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_3-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_4096_512_15M-L1 | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_3-seqsight\_4096\_512\_15M-L1
======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6448
* F1 Score: 0.6147
* Accuracy: 0.615
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_3-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggin... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_3-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_4096_512_15M-L8 | null | [
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"generated_from_trainer",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_3-seqsight\_4096\_512\_15M-L8
======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6245
* F1 Score: 0.6439
* Accuracy: 0.646
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ellzo/selma_tokenizer_20k | null | [
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_3-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggi... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_3-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_4096_512_15M-L32 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:36:29+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_3-seqsight\_4096\_512\_15M-L32
=======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6279
* F1 Score: 0.6449
* Accuracy: 0.65
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_2-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggin... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_2-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_4096_512_15M-L1 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:36:42+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_2-seqsight\_4096\_512\_15M-L1
======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5714
* F1 Score: 0.7106
* Accuracy: 0.711
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_2-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggin... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_2-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_4096_512_15M-L8 | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:36:44+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_2-seqsight\_4096\_512\_15M-L8
======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6060
* F1 Score: 0.7077
* Accuracy: 0.708
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_dora_v1_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_v1_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`h... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "dora", "template:sd-lora"], "widget": [{"text": "a <s0><s1> emoji dressed as an easter bunny", "output": {"url": "image_0.png"}}, {"text": "a <s0><s1> emoji dressed as an easte... | linoyts/huggy_dora_v1_pivotal | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"diffusers-training",
"text-to-image",
"dora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-01T22:37:21+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #dora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - linoyts/huggy_dora_v1_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_v1_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download 'huggy_do... | [
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"### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke\n\n- ... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #dora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n",
"# SDXL LoRA DreamBooth - linoyts/huggy_dora_v1_pivotal\n\n<Gallery />",
"## Model description... | [
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text-generation | transformers |
## Use At your own Risk!
4bit gptq (gptq) version of dbrx-base-converted-v2
Version: 2 (much better quantization/calibration than previous)
Run:
1. Use PR https://github.com/AutoGPTQ/AutoGPTQ/pull/625
2. Need ~68GB of VRAM (1xA100 80G will do)
3. Use combine_tensors.sh script to combine the two split files into one... | {} | LnL-AI/dbrx-base-converted-v2-4bit-gptq-gptq-v2 | null | [
"transformers",
"dbrx",
"text-generation",
"custom_code",
"arxiv:2211.15841",
"arxiv:2304.11277",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-01T22:37:36+00:00 | [
"2211.15841",
"2304.11277"
] | [] | TAGS
#transformers #dbrx #text-generation #custom_code #arxiv-2211.15841 #arxiv-2304.11277 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
## Use At your own Risk!
4bit gptq (gptq) version of dbrx-base-converted-v2
Version: 2 (much better quantization/calibration than previous)
Run:
1. Use PR URL
2. Need ~68GB of VRAM (1xA100 80G will do)
3. Use combine_tensors.sh script to combine the two split files into one. HF has max 50GB file size limit.
TODO... | [
"## Use At your own Risk!\n\n4bit gptq (gptq) version of dbrx-base-converted-v2\n\nVersion: 2 (much better quantization/calibration than previous)\n\nRun:\n1. Use PR URL\n2. Need ~68GB of VRAM (1xA100 80G will do)\n3. Use combine_tensors.sh script to combine the two split files into one. HF has max 50GB file size l... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_2-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://huggi... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_2-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_4096_512_15M-L32 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:37:41+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_2-seqsight\_4096\_512\_15M-L32
=======================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6701
* F1 Score: 0.7127
* Accuracy: 0.713
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-270
This model is a fine-tuned version of [FacebookAI/roberta-base](... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-270", "results": []}]} | rajevan123/STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-270 | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T22:41:36+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-270
===============================================================
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0848
* Accuracy: 0.7172
Model descri... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 15",
"### Train... | [
"TAGS\n#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_virus_covid-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_virus_covid-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_virus_covid-seqsight_4096_512_15M-L1 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:42:56+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_virus\_covid-seqsight\_4096\_512\_15M-L1
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_virus\_covid dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7611
* F1 Score: 0.3494
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-finetuned-abbr-Epoch18
This model is a fine-tuned version of [surrey-nlp/roberta-large-finetuned-abbr](https://hug... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "surrey-nlp/roberta-large-finetuned-abbr", "model-index": [{"name": "roberta-large-finetuned-abbr-Epoch18", "results": []}]} | karsimkh/roberta-large-finetuned-abbr-Epoch18 | null | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"generated_from_trainer",
"base_model:surrey-nlp/roberta-large-finetuned-abbr",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T22:44:23+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #token-classification #generated_from_trainer #base_model-surrey-nlp/roberta-large-finetuned-abbr #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# roberta-large-finetuned-abbr-Epoch18
This model is a fine-tuned version of surrey-nlp/roberta-large-finetuned-abbr on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1712
- Precision: 0.9881
- Recall: 0.9834
- F1: 0.9857
- Accuracy: 0.9836
## Model description
More informa... | [
"# roberta-large-finetuned-abbr-Epoch18\n\nThis model is a fine-tuned version of surrey-nlp/roberta-large-finetuned-abbr on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.1712\n- Precision: 0.9881\n- Recall: 0.9834\n- F1: 0.9857\n- Accuracy: 0.9836",
"## Model description... | [
"TAGS\n#transformers #safetensors #roberta #token-classification #generated_from_trainer #base_model-surrey-nlp/roberta-large-finetuned-abbr #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"# roberta-large-finetuned-abbr-Epoch18\n\nThis model is a fine-tuned version of surrey-nlp/roberta-... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_virus_covid-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_virus_covid-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_virus_covid-seqsight_4096_512_15M-L8 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:44:45+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_virus\_covid-seqsight\_4096\_512\_15M-L8
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_virus\_covid dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5136
* F1 Score: 0.4319
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | ch0t0n/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-01T22:46:07+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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] |
null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "huggyllama/llama-7b"} | shrenikb/hug16test | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:huggyllama/llama-7b",
"region:us"
] | null | 2024-04-01T22:48:49+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-huggyllama/llama-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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"# Model Card for Model ID",
"## Model Details",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_virus_covid-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_virus_covid-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_virus_covid-seqsight_4096_512_15M-L32 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T22:49:33+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_virus\_covid-seqsight\_4096\_512\_15M-L32
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_virus\_covid dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3290
* F1 Score: 0.501... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ronysalem/Resume_sentence_classifier | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T22:49:39+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | null |
## Exllama v2 Quantizations of Tess-2.0-Yi-34B-200K
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.17">turboderp's ExLlamaV2 v0.0.17</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch co... | {"license": "other", "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Tess-2.0-Yi-34B-200K-exl2 | null | [
"text-generation",
"license:other",
"region:us"
] | null | 2024-04-01T22:50:29+00:00 | [] | [] | TAGS
#text-generation #license-other #region-us
| Exllama v2 Quantizations of Tess-2.0-Yi-34B-200K
------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.17 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, wit... | [] | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "huggyllama/llama-7b"} | shrenikb/hug16aggtest | null | [
"peft",
"safetensors",
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"region:us"
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"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-huggyllama/llama-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-sus
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-bas... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sus", "results": []}]} | EnricocoChanel/donut-base-sus | null | [
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"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T22:55:59+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
|
# donut-base-sus
This model is a fine-tuned version of naver-clova-ix/donut-base on a custom dataset of german supermarket receipts (kassenzettel) dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information neede... | [
"# donut-base-sus\n\nThis model is a fine-tuned version of naver-clova-ix/donut-base on a custom dataset of german supermarket receipts (kassenzettel) dataset.",
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"## Intended uses & limitations\n\nMore information needed",
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text-generation | transformers |
# StrangeMerges_52-7B-dare_ties
StrangeMerges_52-7B-dare_ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1)
* [AurelPx/Percival_01-7b-sl... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "WizardLM/WizardMath-7B-V1.1", "AurelPx/Percival_01-7b-slerp", "Weyaxi/Einstein-v4-7B", "Kukedlc/NeuralMaths-Experiment-7b", "Gille/StrangeMerges_35-7B-slerp"], "base_model": ["WizardLM/WizardMath-7B-V1.1", "AurelPx/Percival_01-7b-slerp", "Weyaxi/E... | Gille/StrangeMerges_52-7B-dare_ties | null | [
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"Kukedlc/NeuralMaths-Experiment-7b",
"Gille/StrangeMerges_35-7B-slerp",
"base_model:WizardLM/WizardMath-7B... | null | 2024-04-01T22:58:19+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #WizardLM/WizardMath-7B-V1.1 #AurelPx/Percival_01-7b-slerp #Weyaxi/Einstein-v4-7B #Kukedlc/NeuralMaths-Experiment-7b #Gille/StrangeMerges_35-7B-slerp #base_model-WizardLM/WizardMath-7B-V1.1 #base_model-AurelPx/Percival_01-7b-slerp ... | StrangeMerges\_52-7B-dare\_ties
===============================
StrangeMerges\_52-7B-dare\_ties is a merge of the following models using LazyMergekit:
* WizardLM/WizardMath-7B-V1.1
* AurelPx/Percival\_01-7b-slerp
* Weyaxi/Einstein-v4-7B
* Kukedlc/NeuralMaths-Experiment-7b
* Gille/StrangeMerges\_35-7B-slerp
Config... | [] | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-275
This model is a fine-tuned version of [FacebookAI/roberta-base](... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-275", "results": []}]} | rajevan123/STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-275 | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T23:02:02+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-275
===============================================================
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2004
* Accuracy: 0.7341
Model descri... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 15",
"### Train... | [
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null | adapter-transformers |
41.4 <- Average
43.09 <- ARC
72.33 <- HellaSwag
26.74 <- MMLU
40.22 <- TruthfulQA
62.67 <- Winogrande
3.34 <- GSM8K | {"license": "apache-2.0", "library_name": "adapter-transformers", "datasets": ["netcat420/MFANN"]} | netcat420/MFANN3b | null | [
"adapter-transformers",
"safetensors",
"llama",
"dataset:netcat420/MFANN",
"license:apache-2.0",
"region:us"
] | null | 2024-04-01T23:02:17+00:00 | [] | [] | TAGS
#adapter-transformers #safetensors #llama #dataset-netcat420/MFANN #license-apache-2.0 #region-us
|
41.4 <- Average
43.09 <- ARC
72.33 <- HellaSwag
26.74 <- MMLU
40.22 <- TruthfulQA
62.67 <- Winogrande
3.34 <- GSM8K | [] | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | Rz1010/my_awesome_model | null | [
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"safetensors",
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"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T23:02:34+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_model
==================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5521
* Accuracy: 0.8947
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "huggyllama/llama-7b"} | shrenikb/hug16noaggtest | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:huggyllama/llama-7b",
"region:us"
] | null | 2024-04-01T23:07:50+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-huggyllama/llama-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
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"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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"## Model Details",
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-dmae-va-U5-40
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/go... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["Augusto777/dmae-ve-U5"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-patch16-224-dmae-va-U5-40", "results": []}]} | Augusto777/vit-base-patch16-224-dmae-va-U5-40 | null | [
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"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
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"base_model:google/vit-base-patch16-224",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T23:08:18+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #dataset-Augusto777/dmae-ve-U5 #base_model-google/vit-base-patch16-224 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| vit-base-patch16-224-dmae-va-U5-40
==================================
This model is a fine-tuned version of google/vit-base-patch16-224 on Augusto777/dmae-ve-U5 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0367
* Accuracy: 0.8166
Model description
-----------------
More informatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "huggyllama/llama-7b"} | shrenikb/hug24noaggtest | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:huggyllama/llama-7b",
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-huggyllama/llama-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "huggyllama/llama-7b"} | shrenikb/hug24aggtest | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:huggyllama/llama-7b",
"region:us"
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-huggyllama/llama-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "huggyllama/llama-7b"} | shrenikb/hug32noaggtest | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-huggyllama/llama-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_billsum_model
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "my_awesome_billsum_model", "results": []}]} | vikyi/my_awesome_billsum_model | null | [
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"license:apache-2.0",
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"text-generation-inference",
"region:us"
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| my\_awesome\_billsum\_model
===========================
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5600
* Rouge1: 0.1405
* Rouge2: 0.0535
* Rougel: 0.118
* Rougelsum: 0.1181
* Gen Len: 19.0
Model description
--... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4",
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-finetuned-abbr-Epoch24
This model is a fine-tuned version of [surrey-nlp/roberta-large-finetuned-abbr](https://hug... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "surrey-nlp/roberta-large-finetuned-abbr", "model-index": [{"name": "roberta-large-finetuned-abbr-Epoch24", "results": []}]} | karsimkh/roberta-large-finetuned-abbr-Epoch24 | null | [
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"roberta",
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"base_model:surrey-nlp/roberta-large-finetuned-abbr",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T23:12:53+00:00 | [] | [] | TAGS
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|
# roberta-large-finetuned-abbr-Epoch24
This model is a fine-tuned version of surrey-nlp/roberta-large-finetuned-abbr on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1935
- Precision: 0.9843
- Recall: 0.9779
- F1: 0.9811
- Accuracy: 0.9786
## Model description
More informa... | [
"# roberta-large-finetuned-abbr-Epoch24\n\nThis model is a fine-tuned version of surrey-nlp/roberta-large-finetuned-abbr on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.1935\n- Precision: 0.9843\n- Recall: 0.9779\n- F1: 0.9811\n- Accuracy: 0.9786",
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "huggyllama/llama-7b"} | shrenikb/hug32aggtest | null | [
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"safetensors",
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#peft #safetensors #arxiv-1910.09700 #base_model-huggyllama/llama-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ckartal/opus-finetuned-tatoeba-tr-to-en | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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null | transformers | ## About
static quants of https://huggingface.co/mlabonne/Zebrafish-dare-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community D... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "mlabonne/Zebrafish-dare-7B", "quantized_by": "mradermacher"} | mradermacher/Zebrafish-dare-7B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | lbaeriswyl/ppo-PyramidsRND | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-01T23:16:48+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutori... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lunarsylph/mooncell_v27 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T23:24:16+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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null | null | [](LICENSE)
[](LICENSE-MODEL)
[](https://pepy.tech/project/deepfloyd_if)
# IF by DeepFloyd Lab at [StabilityAI](ht... | {} | NovaCo/ImageFloyd | null | [
"arxiv:2205.11487",
"region:us"
] | null | 2024-04-01T23:27:58+00:00 | [
"2205.11487"
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#arxiv-2205.11487 #region-us
| 
Links: DeepFloyd.AI | Discord | Twitter
---------------------------------------
We introduce DeepFloyd IF, a novel state-of-the-art open-source text-to-image mod... | [
"### Example\n\n\nBefore you can use IF, you need to accept its usage conditions. To do so:\n\n\n1. Make sure to have a Hugging Face account and be loggin in\n2. Accept the license on the model card of DeepFloyd/IF-I-XL-v1.0\n3. Make sure to login locally. Install 'huggingface\\_hub'\n\n\nrun the login function in ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | happylayers/s4 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | anonauthors/test | null | [
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"safetensors",
"convnext",
"image-classification",
"arxiv:1910.09700",
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"endpoints_compatible",
"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712014835220x512940296104004600
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A photo of TOK
```
Use this keyword to trigger your custom model in your prompts.... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["jamine23/jaminerubini"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of TOK", "inference": false} | squaadinc/1712014835220x512940296104004600 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:jamine23/jaminerubini",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-01T23:40:48+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-jamine23/jaminerubini #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712014835220x512940296104004600
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v2_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v2_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: downlo... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "dora", "template:sd-lora", "edm-training"], "inference": {"parameters": {"scheduler": "EulerDiscreteScheduler"}}, "widget": [{"text": "a <s0><s1> emoji dressed as an easter bun... | linoyts/huggy_dora_edm_v2_pivotal | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"diffusers-training",
"text-to-image",
"dora",
"template:sd-lora",
"edm-training",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
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#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #dora #template-sd-lora #edm-training #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v2_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v2_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download '... | [
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text-generation | transformers |
# StrangeMerges_53-7B-model_stock
StrangeMerges_53-7B-model_stock is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: Gille/StrangeMerges_52-7B-dare_ties
- model: rwitz/experi... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"], "model-index": [{"name": "StrangeMerges_53-7B-model_stock", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split"... | Gille/StrangeMerges_53-7B-model_stock | null | [
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"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T23:44:10+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| StrangeMerges\_53-7B-model\_stock
=================================
StrangeMerges\_53-7B-model\_stock is a merge of the following models using LazyMergekit:
Configuration
-------------
Usage
-----
Open LLM Leaderboard Evaluation Results
=======================================
Detailed results can be found her... | [] | [
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] |
image-classification | timm | # Model card for cub200-resnet50
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | anonauthors/cub200-resnet50 | null | [
"timm",
"pytorch",
"image-classification",
"license:apache-2.0",
"region:us"
] | null | 2024-04-01T23:45:03+00:00 | [] | [] | TAGS
#timm #pytorch #image-classification #license-apache-2.0 #region-us
| # Model card for cub200-resnet50
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | anonauthors/cub200-ViT-b32 | null | [
"transformers",
"safetensors",
"vit",
"image-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T23:45:32+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #vit #image-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | anonauthors/cub200-ConvNeXt-base | null | [
"transformers",
"safetensors",
"convnext",
"image-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #convnext #image-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | maldaer/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-01T23:46:13+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
image-classification | timm | # Model card for caltech101-resnet50
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | anonauthors/caltech101-resnet50 | null | [
"timm",
"pytorch",
"image-classification",
"license:apache-2.0",
"region:us"
] | null | 2024-04-01T23:47:39+00:00 | [] | [] | TAGS
#timm #pytorch #image-classification #license-apache-2.0 #region-us
| # Model card for caltech101-resnet50
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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