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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. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | Fernweh23/xlm-roberta-base-finetuned-panx-de | null | [
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| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1363
* F1: 0.8658
Model description
-----------------
More information needed
Intended uses & l... | [
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null | null | # GraphReasoning: Scientific Discovery through Knowledge Extraction and Multimodal Graph-based Representation and Reasoning
Markus J. Buehler, MIT, 2024
mbuehler@MIT.EDU
Leveraging generative Artificial Intelligence (AI), we have transformed a dataset comprising 1,000 scientific papers into an ontological knowledge g... | {"license": "apache-2.0"} | lamm-mit/GraphReasoning | null | [
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| # GraphReasoning: Scientific Discovery through Knowledge Extraction and Multimodal Graph-based Representation and Reasoning
Markus J. Buehler, MIT, 2024
mbuehler@MIT.EDU
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null | null |
<!-- 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. -->
# flan_sum_04-10-11-31-24
This model is a fine-tuned version of [google/flan-t5-xxl](https://huggingface.co/google/flan-t5-xxl) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-xxl", "model-index": [{"name": "flan_sum_04-10-11-31-24", "results": []}]} | reeddg/flan_sum_04-10-11-31-24 | null | [
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|
# flan_sum_04-10-11-31-24
This model is a fine-tuned version of google/flan-t5-xxl on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamete... | [
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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. -->
# gpt2-response_gen
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "gpt2-response_gen", "results": []}]} | SuramyaPokharel/gpt2-response_gen | null | [
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| gpt2-response\_gen
==================
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
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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).
Dataset used: tatsu-lab/alpaca
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "kr-manish/Mistral-7B-autotrain-finetune... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | kr-manish/Mistral-7B-autotrain-finetune-QA-vx | null | [
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This model was trained using AutoTrain. For more information, please visit AutoTrain.
Dataset used: tatsu-lab/alpaca
# Usage
# Usage
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null | peft |
# Model Card for Model ID
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null | peft |
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null | transformers |
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | mango-sciences/Mistral_7B_0.2_Chat_finetuned_DS_v2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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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": ["trl", "sft"]} | mmpc/Qwen1.5-1.8B-base-ft | 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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text-to-image | diffusers | # logan-xmen
<Gallery />
## Model description
This lora creates the likeness of Logan (Wolverine) from the animated X-Men. Created by Sdaniel94.
## Download model
Weights for this model are available in Safetensors format.
[Download](/MarkBW/logan-xmen/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/8fea5e2c47710c427ad14fecec9ed011.jpeg"}}], "base_model": "runwayml/stable-diffusion-v1-5"} | MarkBW/logan-xmen | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #region-us
| # logan-xmen
<Gallery />
## Model description
This lora creates the likeness of Logan (Wolverine) from the animated X-Men. Created by Sdaniel94.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
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- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | {"library_name": "peft"} | recogna-nlp/internlm2-chat-7b-ultraalpaca | null | [
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- llm_int8_has_fp16_weight: False
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/codegemma-7b-it-bnb-4bit-smashed | null | [
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![Twitter](URL
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text-generation | null |
# NikolayKozloff/Czech-GPT-2-XL-133k-Q8_0-GGUF
This model was converted to GGUF format from [`BUT-FIT/Czech-GPT-2-XL-133k`](https://huggingface.co/BUT-FIT/Czech-GPT-2-XL-133k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card]... | {"language": ["cs"], "license": "mit", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["BUT-FIT/BUT-LCC"], "metrics": ["perplexity"], "pipeline_tag": "text-generation"} | NikolayKozloff/Czech-GPT-2-XL-133k-GGUF | null | [
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# NikolayKozloff/Czech-GPT-2-XL-133k-Q8_0-GGUF
This model was converted to GGUF format from 'BUT-FIT/Czech-GPT-2-XL-133k' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
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text-classification | setfit |
# SetFit with sentence-transformers/all-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) as the Sentence Transformer e... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "ed_course section: \n 11/24/23 1442 Fri Nov 24, 2023 1050 X rays of the right hand independently reviewed and are negative for acute fractu... | nishut/setfit-all-mpnet-189b_189g_v3 | null | [
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| SetFit with sentence-transformers/all-mpnet-base-v2
===================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/all-mpnet-base-v2 as the Sentence Transformer embedding model. A LogisticRegression instance is used for... | [
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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. -->
# gemma-2b-for-python-v2
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the No... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-2b-for-python-v2", "results": []}]} | Ikeofai/gemma-2b-for-python-v2 | null | [
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| gemma-2b-for-python-v2
======================
This model is a fine-tuned version of google/gemma-2b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0070
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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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. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | Fernweh23/xlm-roberta-base-finetuned-panx-de-fr | null | [
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| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1639
* F1: 0.8591
Model description
-----------------
More information needed
Intended uses... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/codegemma-7b-it-bnb-8bit-smashed | null | [
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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image-to-image | diffusers |
### Model Description
Pruned **Inpaint model** for BOOBS MIX checkpoint, made for realistic style and celebrity models.
- **Developed by:** MrBlackSheep
- **Model type:** Checkpoint **Inpaint model** **(Pruned version)**
- **License:** creativeml-openrail-m | {"language": ["en"], "license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["checkpoint"], "pipeline_tag": "image-to-image"} | MrBlackSheep/BOOBS_MIX_Pruned.inpainting | null | [
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### Model Description
Pruned Inpaint model for BOOBS MIX checkpoint, made for realistic style and celebrity models.
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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": []} | HFHAB/FinetunedMistralModel2000 | null | [
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"4-bit",
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#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #4-bit #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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- Funded by [optional]:
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null | null | <!-- 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. -->
# bert-fine-tuned-cola
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the glue ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["nyu-mll/glue"], "metrics": ["matthews_correlation"], "model-index": [{"name": "bert-fine-tuned-cola", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "glue", "type": "glue", "args": "cola... | ganeshkamath89/bert-fine-tuned-cola | null | [
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#generated_from_trainer #dataset-nyu-mll/glue #license-apache-2.0 #model-index #region-us
| bert-fine-tuned-cola
====================
This model is a fine-tuned version of bert-base-cased on the glue dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8068
* Matthews Correlation: 0.5959
Model description
-----------------
More information needed
Intended uses & limitations
--... | [
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automatic-speech-recognition | transformers | # Whisper-Large-V3-Illuin-French-ctranslate2
This model is [whisper-large-v3-french-illuin](BrunoHays/whisper-large-v3-french-illuin) converted to the format used by the faster-whisper framework.
All the model's formats can be found in this [collection](https://huggingface.co/collections/illuin/whisper-large-french-i... | {"language": ["fr"], "license": "cc-by-4.0", "pipeline_tag": "automatic-speech-recognition"} | BrunoHays/whisper-large-v3-french-illuin-ctranslate2-fp16 | null | [
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#transformers #automatic-speech-recognition #fr #license-cc-by-4.0 #endpoints_compatible #region-us
| # Whisper-Large-V3-Illuin-French-ctranslate2
This model is whisper-large-v3-french-illuin converted to the format used by the faster-whisper framework.
All the model's formats can be found in this collection
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reinforcement-learning | null |
# PPO Agent Playing CartPole-v1
This is a trained model of a PPO agent playing CartPole-v1.
# Hyperparameters
```python
{'exp_name': '/root/.local/share/jupyter/runtime/kernel-b1251b3f-0560-43f9-a6d6-1db6758e48f1.json'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_nam... | {"tags": ["CartPole-v1", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metr... | basil-ahmad/ppo-Lunar-Lander-v2 | null | [
"tensorboard",
"CartPole-v1",
"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
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#tensorboard #CartPole-v1 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing CartPole-v1
This is a trained model of a PPO agent playing CartPole-v1.
# Hyperparameters
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null | null |
# rinaldow/LogoS-7Bx2-MoE-13B-v0.2-Q4_K_M-GGUF
This model was converted to GGUF format from [`RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2`](https://huggingface.co/RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [... | {"language": ["en", "es"], "license": "apache-2.0", "tags": ["moe", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B", "TomGrc/FusionNet_7Bx2_MoE_14B"], "model-index": [{"name": "LogoS-7Bx2-MoE-13B-v0.1", "results": [{"task": {"type": "text-generation", "name... | rinaldow/LogoS-7Bx2-MoE-13B-v0.2-Q4_K_M-GGUF | null | [
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|
# rinaldow/LogoS-7Bx2-MoE-13B-v0.2-Q4_K_M-GGUF
This model was converted to GGUF format from 'RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
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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": []} | Trubnik1967/zephyr-7b-beta-Agent-Instruct_v1 | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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# Model Card for Model ID
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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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automatic-speech-recognition | null | # Whisper-Large-V3-Illuin-French-cpp
This model is [whisper-large-v3-french-illuin](BrunoHays/whisper-large-v3-french-illuin) converted to the format used by the whisper.cpp framework.
All the model's formats can be found in this [collection](https://huggingface.co/collections/illuin/whisper-large-french-illuin-66168... | {"language": ["fr"], "license": "cc-by-4.0", "pipeline_tag": "automatic-speech-recognition"} | BrunoHays/whisper-large-v3-french-illuin-cpp-fp16 | null | [
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"fr",
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#automatic-speech-recognition #fr #license-cc-by-4.0 #region-us
| # Whisper-Large-V3-Illuin-French-cpp
This model is whisper-large-v3-french-illuin converted to the format used by the URL framework.
All the model's formats can be found in this collection
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text-generation | keras-nlp |
# CodeGemma
This model card corresponds to the 2B base version of the Code Gemma model for usage in keras.
For more information about the model, visit https://huggingface.co/google/codegemma-2b.
Model Page
: [CodeGemma](https://ai.google.dev/gemma/docs/codegemma)
Resources and Technical Documentation
: [Technical R... | {"license": "gemma", "library_name": "keras-nlp", "extra_gated_heading": "Access CodeGemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click belo... | google/codegemma-2b-keras | null | [
"keras-nlp",
"text-generation",
"license:gemma",
"region:us"
] | null | 2024-04-10T12:21:58+00:00 | [] | [] | TAGS
#keras-nlp #text-generation #license-gemma #region-us
|
# CodeGemma
This model card corresponds to the 2B base version of the Code Gemma model for usage in keras.
For more information about the model, visit URL
Model Page
: CodeGemma
Resources and Technical Documentation
: Technical Report
: Responsible Generative AI Toolkit
Terms of Use
: Terms
Authors
: Google
## L... | [
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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... | patricktiu1205/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-10T12:22:51+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.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
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. -->
# xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | Fernweh23/xlm-roberta-base-finetuned-panx-fr | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T12:24:05+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2750
* F1: 0.8495
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
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text-generation | transformers |
## My first ever successful merge: QueenLiz 120B
this is a linear merge of Quartet70B (https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001) and Lzlv 70B (https://huggingface.co/lizpreciati... | {} | blockblockblock/QueenLiz-120B-bpw6 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2203.05482",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"6-bit",
"region:us"
] | null | 2024-04-10T12:24:51+00:00 | [
"2203.05482"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-2203.05482 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us
|
## My first ever successful merge: QueenLiz 120B
!image/png
this is a linear merge of Quartet70B (URL and Lzlv 70B (URL
Sharing it here so hopefully someone else with proper machine can try this out.
NOTE: Context Window should be 32K
My Q4KM GGUF here :URL
Thanks to the Mad Skills by @mradermacher - a whole s... | [
"## My first ever successful merge: QueenLiz 120B\n\n\n!image/png\n\nthis is a linear merge of Quartet70B (URL and Lzlv 70B (URL\n\nSharing it here so hopefully someone else with proper machine can try this out.\n\n\nNOTE: Context Window should be 32K\n\nMy Q4KM GGUF here :URL\n\nThanks to the Mad Skills by @mrader... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-2203.05482 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us \n",
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"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-2203.05482 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us \n## My first ever successful merge: QueenLiz 120B\n\n\n!image/png\n\nthis is a linear merge of Quartet70B (URL and Lzlv 70B (URL\n\nSharing it here so... |
zero-shot-image-classification | transformers |
UIClip is a vision-language model in GUI domain.
Code and dataset can be found at https://github.com/Jl-wei/guing
If you find our work useful, please cite our paper:
```bibtex
@misc{wei2024guing,
title={GUing: A Mobile GUI Search Engine using a Vision-Language Model},
author={Jialiang Wei and Anne-Lise ... | {"language": ["en"], "license": "mit"} | Jl-wei/uiclip-vit-base-patch32 | null | [
"transformers",
"pytorch",
"clip",
"zero-shot-image-classification",
"en",
"arxiv:2405.00145",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T12:25:05+00:00 | [
"2405.00145"
] | [
"en"
] | TAGS
#transformers #pytorch #clip #zero-shot-image-classification #en #arxiv-2405.00145 #license-mit #endpoints_compatible #region-us
|
UIClip is a vision-language model in GUI domain.
Code and dataset can be found at URL
If you find our work useful, please cite our paper:
| [] | [
"TAGS\n#transformers #pytorch #clip #zero-shot-image-classification #en #arxiv-2405.00145 #license-mit #endpoints_compatible #region-us \n"
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43
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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. -->
# xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-it", "results": []}]} | Fernweh23/xlm-roberta-base-finetuned-panx-it | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T12:27:32+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-it
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2619
* F1: 0.8321
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': '/root/.local/share/jupyter/runtime/kernel-b1251b3f-0560-43f9-a6d6-1db6758e48f1.json'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_proje... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | basil-ahmad/LunarLander-v2 | null | [
"tensorboard",
"LunarLander-v2",
"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
"region:us"
] | null | 2024-04-10T12:27:59+00:00 | [] | [] | TAGS
#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
| [
"# PPO Agent Playing LunarLander-v2\n\n This is a trained model of a PPO agent playing LunarLander-v2.\n \n # Hyperparameters"
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] |
text-generation | transformers | ### This model is trained from Mistral-7B-Instruct-V0.2 with 90% chinese dataset and 10% english dataset
github [Web-UI](https://github.com/moseshu/llama2-chat/tree/main/webui)
```python
from transfo... | {"license": "apache-2.0"} | Moses25/Mistral-7B-Instruct-V0.4 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T12:28:07+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ### This model is trained from Mistral-7B-Instruct-V0.2 with 90% chinese dataset and 10% english dataset
github Web-UI
!image/png
## vLLM server
| [
"### This model is trained from Mistral-7B-Instruct-V0.2 with 90% chinese dataset and 10% english dataset\ngithub Web-UI\n\n!image/png",
"## vLLM server"
] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/JDBMG/Hapsburg_v0_1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a we... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "JDBMG/Hapsburg_v0_1", "quantized_by": "mradermacher"} | mradermacher/Hapsburg_v0_1-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:JDBMG/Hapsburg_v0_1",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T12:28:59+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-JDBMG/Hapsburg_v0_1 #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 #mergekit #merge #en #base_model-JDBMG/Hapsburg_v0_1 #endpoints_compatible #region-us \n"
] | [
40
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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. -->
# xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-en", "results": []}]} | Fernweh23/xlm-roberta-base-finetuned-panx-en | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T12:29:20+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-en
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3905
* F1: 0.6861
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
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null | null | ---
# Model Card for C4AI Command R+
This model is a 6.0 bpw exl2 quantized version of C4AI Command R+
NOTE: files are found on the master branch, not main.
## Model Summary
C4AI Command R+ is an open weights research release of a 104B billion parameter model with highly advanced capabilities, this includes Retrie... | {} | quarterturn/c4ai-command-r-plus-exl2-6.0bpw | null | [
"region:us"
] | null | 2024-04-10T12:33:41+00:00 | [] | [] | TAGS
#region-us
| ---
# Model Card for C4AI Command R+
This model is a 6.0 bpw exl2 quantized version of C4AI Command R+
NOTE: files are found on the master branch, not main.
## Model Summary
C4AI Command R+ is an open weights research release of a 104B billion parameter model with highly advanced capabilities, this includes Retrie... | [
"# Model Card for C4AI Command R+\n\nThis model is a 6.0 bpw exl2 quantized version of C4AI Command R+\n\nNOTE: files are found on the master branch, not main.",
"## Model Summary\n\nC4AI Command R+ is an open weights research release of a 104B billion parameter model with highly advanced capabilities, this inclu... | [
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"# Model Card for C4AI Command R+\n\nThis model is a 6.0 bpw exl2 quantized version of C4AI Command R+\n\nNOTE: files are found on the master branch, not main.",
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text-generation | keras-nlp |
# CodeGemma
This model card corresponds to the 7B base version of the Code Gemma model for usage in keras.
For more information about the model, visit https://huggingface.co/google/codegemma-7b.
Model Page
: [CodeGemma](https://ai.google.dev/gemma/docs/codegemma)
Resources and Technical Documentation
: [Technical R... | {"license": "gemma", "library_name": "keras-nlp", "extra_gated_heading": "Access CodeGemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click belo... | google/codegemma-7b-keras | null | [
"keras-nlp",
"text-generation",
"license:gemma",
"region:us"
] | null | 2024-04-10T12:33:41+00:00 | [] | [] | TAGS
#keras-nlp #text-generation #license-gemma #region-us
|
# CodeGemma
This model card corresponds to the 7B base version of the Code Gemma model for usage in keras.
For more information about the model, visit URL
Model Page
: CodeGemma
Resources and Technical Documentation
: Technical Report
: Responsible Generative AI Toolkit
Terms of Use
: Terms
Authors
: Google
## L... | [
"# CodeGemma\n\nThis model card corresponds to the 7B base version of the Code Gemma model for usage in keras.\nFor more information about the model, visit URL\n\nModel Page\n: CodeGemma\n\nResources and Technical Documentation\n: Technical Report\n: Responsible Generative AI Toolkit\n\nTerms of Use\n: Terms\n\nAut... | [
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"# CodeGemma\n\nThis model card corresponds to the 7B base version of the Code Gemma model for usage in keras.\nFor more information about the model, visit URL\n\nModel Page\n: CodeGemma\n\nResources and Technical Documentation\n: Technical Report\... | [
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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. -->
# Whisper Small FIFA_commentary
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["jmcastelo17/FIFA_commentary"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small FIFA_commentary", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automa... | jmcastelo17/whisper-small-FIFA-1 | null | [
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"automatic-speech-recognition",
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"base_model:openai/whisper-small",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T12:34:13+00:00 | [] | [
"en"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #en #dataset-jmcastelo17/FIFA_commentary #base_model-openai/whisper-small #license-apache-2.0 #model-index #endpoints_compatible #region-us
| Whisper Small FIFA\_commentary
==============================
This model is a fine-tuned version of openai/whisper-small on the FIFA\_commentary dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3180
* Wer: 24.6006
Model description
-----------------
More information needed
Intended ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\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 |
<!-- 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. -->
# TaskA_roberta
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description
Mo... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "TaskA_roberta", "results": []}]} | dianamihalache27/TaskA_roberta | null | [
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# TaskA_roberta
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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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. -->
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automatic-speech-recognition | null | # Whisper-Large-V3-Illuin-French-cpp
This model is [whisper-large-v3-french-illuin](BrunoHays/whisper-large-v3-french-illuin) converted to the format used by the whisper.cpp framework.
All the model's formats can be found in this [collection](https://huggingface.co/collections/illuin/whisper-large-french-illuin-66168... | {"language": ["fr"], "license": "cc-by-4.0", "pipeline_tag": "automatic-speech-recognition"} | BrunoHays/whisper-large-v3-french-illuin-cpp-Q5_0 | null | [
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| # Whisper-Large-V3-Illuin-French-cpp
This model is whisper-large-v3-french-illuin converted to the format used by the URL framework.
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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. -->
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text-generation | transformers |
# Model Card for Model ID
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null | trl |
# Weni/WeniGPT-Agents-Zephyr-1.0.31-KTO
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.4.0 with the KTO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment with a new tokenizer configuration for chat template of zep... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["KTO", "WeniGPT"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "Weni/WeniGPT-Agents-Zephyr-1.0.31-KTO", "results": []}]} | Weni/WeniGPT-Agents-Zephyr-1.0.31-KTO | null | [
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# Weni/WeniGPT-Agents-Zephyr-1.0.31-KTO
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.4.0 with the KTO trainer. It is part of the WeniGPT project for Weni.
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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": []} | HeydarS/llama2_popQA_peft_v40 | null | [
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automatic-speech-recognition | transformers | # Whisper-Large-V3-Illuin-French-ctranslate2
This model is [whisper-large-v3-french-illuin](BrunoHays/whisper-large-v3-french-illuin) converted to the format used by the faster-whisper framework.
All the model's formats can be found in this [collection](https://huggingface.co/collections/illuin/whisper-large-french-i... | {"language": ["fr"], "license": "cc-by-4.0", "pipeline_tag": "automatic-speech-recognition"} | BrunoHays/whisper-large-v3-french-illuin-ctranslate2-int8 | null | [
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| # Whisper-Large-V3-Illuin-French-ctranslate2
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question-answering | 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. -->
# textPara_qa_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "textPara_qa_model", "results": []}]} | vishal2002/textPara_qa_model | null | [
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| textPara\_qa\_model
===================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
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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. -->
# Whisper Small FIFA_commentary
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["jmcastelo17/FIFA_commentary"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small FIFA_commentary", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automa... | jmcastelo17/whisper-small-FIFA-best | null | [
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| Whisper Small FIFA\_commentary
==============================
This model is a fine-tuned version of openai/whisper-small on the FIFA\_commentary dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3021
* Wer: 23.0032
Model description
-----------------
More information needed
Intended ... | [
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null | null |
<h3 id="heading-2630">Changelog:</h3>
<p><strong><span style="color:rgb(236, 236, 236)">April 8, 2024</span></strong><span style="color:rgb(236, 236, 236)"> -
THEOS model released. Scroll down for model comparison images and info.</span></p>
<p></p>
<h3 id="heading-1173">About:</h3>
<p><strong>𝑹𝑬𝑨𝑳 𝘔𝘐𝘕�... | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["art", "stable diffusion"]} | tilerblurden/realMINT_ALPHA | null | [
"art",
"stable diffusion",
"en",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-10T12:52:26+00:00 | [] | [
"en"
] | TAGS
#art #stable diffusion #en #license-creativeml-openrail-m #region-us
|
<h3 id="heading-2630">Changelog:</h3>
<p><strong><span style="color:rgb(236, 236, 236)">April 8, 2024</span></strong><span style="color:rgb(236, 236, 236)"> -
THEOS model released. Scroll down for model comparison images and info.</span></p>
<p></p>
<h3 id="heading-1173">About:</h3>
<p><strong>𝑹𝑬𝑨𝑳 𝘔𝘐𝘕�... | [] | [
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object-detection | 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. -->
# conditional-detr-resnet-50_finetuned_CSGO
This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "microsoft/conditional-detr-resnet-50", "model-index": [{"name": "conditional-detr-resnet-50_finetuned_CSGO", "results": []}]} | ShaneOD2611/conditional-detr-resnet-50_finetuned_CSGO | null | [
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"conditional_detr",
"object-detection",
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"license:apache-2.0",
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"region:us"
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| conditional-detr-resnet-50\_finetuned\_CSGO
===========================================
This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6509
Model description
-----------------
More information n... | [
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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": []} | ahmedgongi/mistral_version_finale1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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text2text-generation | transformers |
# Language Adaption of mT0
This model is an adaption of the mT0 variant (see below) for languages en, de based on the methodology in [Load What You Need: Smaller Versions of Multilingual BERT](https://arxiv.org/ftp/arxiv/papers/2010/2010.05609.pdf).
The vocabulary has been adjusted to contain the top 2000 tokens ov... | {"language": ["en", "de"], "license": "apache-2.0", "tags": ["text2text-generation"], "datasets": ["bigscience/xP3", "mc4", "Leipzig_corpora_collection"], "pipeline_tag": "text2text-generation"} | SDA-Sum/deT0-large | null | [
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| Language Adaption of mT0
========================
This model is an adaption of the mT0 variant (see below) for languages en, de based on the methodology in Load What You Need: Smaller Versions of Multilingual BERT.
The vocabulary has been adjusted to contain the top 2000 tokens overall as well as
* the top 15000 ... | [
"### CPU\n\n\n\n Click to expand",
"### GPU\n\n\n\n Click to expand",
"### GPU in 8bit\n\n\n\n Click to expand",
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text-generation | null |
# YamshadowExperiment28-7B-GGUF
- Quantized version of [YamshadowExperiment28-7B](https://huggingface.co/automerger/YamshadowExperiment28-7B)
- Created using llama.cpp
## Available Quants
- IQ3_S
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- Q4_0
- Q4_K_M
- Q4_K_S
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- Q8_0 | {"license": "apache-2.0", "tags": ["mistral", "text-generation-inference", "automerger"], "base_model": "automerger/YamshadowExperiment28-7B", "pipeline_tag": "text-generation", "inference": false} | QuantFactory/YamshadowExperiment28-7B-GGUF | null | [
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#gguf #mistral #text-generation-inference #automerger #text-generation #base_model-automerger/YamshadowExperiment28-7B #license-apache-2.0 #region-us
|
# YamshadowExperiment28-7B-GGUF
- Quantized version of YamshadowExperiment28-7B
- Created using URL
## Available Quants
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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": []} | mbrack/occiglot-de-bude-raw | null | [
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"1910.09700"
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#transformers #safetensors #mistral #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]:
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- License... | [
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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": []} | OwOpeepeepoopoo/mistyway3 | 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]:
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text-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. -->
# mistral-7b-dpo-full-wo-live_qa-ep3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mist... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-dpo-full-wo-live_qa-ep3", "results": []}]} | Minbyul/mistral-7b-dpo-full-wo-live_qa-ep3 | null | [
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| mistral-7b-dpo-full-wo-live\_qa-ep3
===================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2304
* Rewards/chosen: -1.4964
* Rewards/rejected: -8.5718... | [
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sentence-similarity | generic |
# bkai-foundation-models/vietnamese-bi-encoder
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
We train the model on a merged training dataset that consists of:
- MS... | {"language": ["vi"], "license": "apache-2.0", "library_name": "generic", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity", "widget": [{"source_sentence": "L\u00e0m th\u1ebf n\u00e0o \u0110\u1ea1i h\u1ecdc B\u00e1ch khoa H\u00e0 N\u1ed9... | nhatminh/vietnamese_bi_encoder | null | [
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"roberta",
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| bkai-foundation-models/vietnamese-bi-encoder
============================================
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
We train the model on a merged training dataset that c... | [
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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. -->
# trainer-chapter4
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", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "trainer-chapter4", "results": []}]} | Peachman/trainer-chapter4 | null | [
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| trainer-chapter4
================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2583
* Accuracy: 0.915
* F1: 0.9150
Model description
-----------------
More information needed
Intended uses & limitations
... | [
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text-to-image | diffusers | This is an inpainting model, which has been converted from the [realisticVisionV51_v51VAE-inpainting](https://civitai.com/models/4201?modelVersionId=130090). | {"license": "creativeml-openrail-m"} | krnl/realisticVisionV51_v51VAE-inpainting | null | [
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feature-extraction | transformers | # pet-shop-100-64_9062874564
## Model Description
pet-shop-100-64_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
This the data... | {} | florianhoenicke/pet-shop-100-64_9062874564 | null | [
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#transformers #safetensors #bert #feature-extraction #endpoints_compatible #region-us
| # pet-shop-100-64_9062874564
## Model Description
pet-shop-100-64_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
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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": []} | palashM/bloomz-560m_PROMPT_TUNING_CAUSAL_LM | null | [
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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. -->
# bart-cnn-samsum-peft
This model is a fine-tuned version of [ingeniumacademy/bart-cnn-samsum-finetuned](https://huggingface.co/in... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ingeniumacademy/bart-cnn-samsum-finetuned", "model-index": [{"name": "bart-cnn-samsum-peft", "results": []}]} | MrMurfi/bart-cnn-samsum-peft | null | [
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# bart-cnn-samsum-peft
This model is a fine-tuned version of ingeniumacademy/bart-cnn-samsum-finetuned 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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image-to-3d | diffusers |
# InstantMesh
Model card for *InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models*.
Code: https://github.com/TencentARC/InstantMesh
Arxiv: https://arxiv.org/abs/2404.07191
We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a s... | {"license": "apache-2.0", "tags": ["image-to-3d"]} | TencentARC/InstantMesh | null | [
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# InstantMesh
Model card for *InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models*.
Code: URL
Arxiv: URL
We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and sign... | [
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text-generation | transformers | # kuno-kunoichi-v1-DPO-v2-SLERP-7B-8.0bpw_h8_exl2
This is an 8.0bpw exl2 quant of a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). Full weights are [here](https://huggingface.co/grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B). Q8_0 GGUF quant is [here](https://huggingface.c... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["SanjiWatsuki/Kunoichi-7B", "SanjiWatsuki/Kunoichi-DPO-v2-7B"]} | grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B-8.0bpw_h8_exl2 | null | [
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| # kuno-kunoichi-v1-DPO-v2-SLERP-7B-8.0bpw_h8_exl2
This is an 8.0bpw exl2 quant of a merge of pre-trained language models created using mergekit. Full weights are here. Q8_0 GGUF quant is here.
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sentence-similarity | sentence-transformers |
# Adi-0-0-Gupta/search
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 128 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes ea... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | Adi-0-0-Gupta/search | null | [
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# Adi-0-0-Gupta/search
This is a sentence-transformers model: It maps sentences & paragraphs to a 128 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-bpw2.25 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - jrochafe/pruebinha_adv
<Gallery />
## Model description
### These are jrochafe/pruebinha_adv 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 **[`pruebinha_adv.s... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "selfie photo of <s0><s1> woman wearing nice clothes", "output": {"url": "image_0.png"}}, {"text": "selfie photo of <s0><s1> wom... | jrochafe/pruebinha_adv | null | [
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|
# SDXL LoRA DreamBooth - jrochafe/pruebinha_adv
<Gallery />
## Model description
### These are jrochafe/pruebinha_adv LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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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. -->
# saiga_1st_attempt
This model is a fine-tuned version of [TheBloke/Llama-2-7B-fp16](https://huggingface.co/TheBloke/Llama-2-7B-fp... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Llama-2-7B-fp16", "model-index": [{"name": "saiga_1st_attempt", "results": []}]} | marcus2000/saiga_1st_attempt | null | [
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| saiga\_1st\_attempt
===================
This model is a fine-tuned version of TheBloke/Llama-2-7B-fp16 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8757
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | basil-ahmad/rl_course_vizdoom_health_gathering_supreme | null | [
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#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
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text-to-image | diffusers | # Jenny Bravo
<Gallery />
## Model description
Jenny Bravo, a gorgeous female with blonde updo hair, black shades, black crop top and blue jeans
## Download model
[Download](/Xristova/JennyBravo/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/jenny-bravo-a-gorgeous-female-with-blonde-updo-hair-black-shades-black-crop-top-and-blue-jeans-342624822-Photoroom.png"}}], "base_model": "stablediffusionapi/realistic-vision-v51"} | Xristova/JennyBravo | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stablediffusionapi/realistic-vision-v51",
"region:us"
] | null | 2024-04-10T13:23:53+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stablediffusionapi/realistic-vision-v51 #region-us
| # Jenny Bravo
<Gallery />
## Model description
Jenny Bravo, a gorgeous female with blonde updo hair, black shades, black crop top and blue jeans
## Download model
Download them in the Files & versions tab.
| [
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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/jyrwjy1 | null | [
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"stablelm",
"text-generation",
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"autotrain_compatible",
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"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):
- License... | [
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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": []} | ayman56/mistral_b_SAS_finetuned_2000_test | 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-generation | transformers |
# LightChatAssistant-2x7B-optimized-experimental
[GGUF版はこちら/Click here for the GGUF version](https://huggingface.co/Aratako/LightChatAssistant-2x7B-optimized-experimental-GGUF)
## 概要
[Sdff-Ltba/LightChatAssistant-2x7B](https://huggingface.co/Sdff-Ltba/LightChatAssistant-2x7B)と同じ設定で、Chat Vectorの加算割合の最適化を目指したモデルです。
素晴ら... | {"language": ["ja"], "license": "apache-2.0", "tags": ["mistral", "mixtral", "not-for-all-audiences", "nsfw"], "base_model": ["NTQAI/chatntq-ja-7b-v1.0", "Elizezen/Antler-7B"]} | Aratako/LightChatAssistant-2x7B-optimized-experimental | null | [
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"region:us"
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"ja"
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|
# LightChatAssistant-2x7B-optimized-experimental
GGUF版はこちら/Click here for the GGUF version
## 概要
Sdff-Ltba/LightChatAssistant-2x7Bと同じ設定で、Chat Vectorの加算割合の最適化を目指したモデルです。
素晴らしい手法を提案いただいた@Sdff-Ltbaさんに感謝します。
元々のLightChatAssistant-2x7BではChat Vectorの加算割合が全レイヤで0.8と固定でした。
この加算割合の最適化をOptunaのTPESamplerを使って各レイヤごとで行い、その後MoEを行って... | [
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text-to-image | diffusers |
# AutoTrain LoRA DreamBooth - fashxp/mercedes-1
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of fash-car using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: False.
| {"license": "openrail++", "tags": ["autotrain", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "runwayml/stable-diffusion-v1-5", "instance_prompt": "a photo of fash-car"} | fashxp/mercedes-1 | null | [
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"license:openrail++",
"region:us"
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#diffusers #autotrain #stable-diffusion #stable-diffusion-diffusers #text-to-image #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #license-openrail++ #region-us
|
# AutoTrain LoRA DreamBooth - fashxp/mercedes-1
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of fash-car using DreamBooth.
LoRA for the text encoder was enabled: False.
| [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
MISTRAL 7b finetunined on SAS programming language dataset
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed o... | {"library_name": "transformers", "tags": []} | ayman56/mistral_b_SAS_finetuned_20000_test | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T13:34:51+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
MISTRAL 7b finetunined on SAS programming language dataset
### 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 [... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
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... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | meiyun1995/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-10T13:35:35+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
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 tuto... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\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 *... | [
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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_pythia-imdb-14m-mz-ada-v3-bs-16
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-imdb-14m-mz-ada-v3-bs-16", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-14m-mz-ada-v3-bs-16 | null | [
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"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-14m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T13:35:55+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-imdb-14m-mz-ada-v3-bs-16
This model is a fine-tuned version of EleutherAI/pythia-14m 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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"## Intended uses & limitations\n\nMore information needed",
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text-to-image | diffusers |
## Ceshi-XL
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.io/model... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Ceshi-XL | null | [
"diffusers",
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-10T13:35:58+00:00 | [] | [] | TAGS
#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
| Ceshi-XL
--------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No payment required.
... | [
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
... | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-bpw2.5 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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null | transformers |
# Uploaded model
- **Developed by:** Jacque008
- **License:** apache-2.0
- **Finetuned from model :** unsloth/codellama-34b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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# Uploaded model
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null | transformers |
# Uploaded model
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
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|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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null | 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": []} | rohitdas2024/mental-health-chatbot | null | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
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This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [coffie3/sx3](https://huggingface.co/coffie3... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffie3/sx3", "coffie3/sx4"]} | Sumail/Barista48 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
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The following models were included in the merge:
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text-to-image | diffusers |
## Clear-XL
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.io/model... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Clear-XL | null | [
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| Clear-XL
--------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No payment required.
... | [
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null | transformers |
# Model Card for Model ID
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null | transformers |
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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": []} | Reihaneh/wav2vec2_frisian_common_voice_15 | 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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text-to-image | diffusers | # ShinYuna-Itzy
<Gallery />
## Model description
This is a LORA model of Not Itzy - Yuna It should work well with any photorealistic models, You'll get best results with a LORA weight 0.7-0.9, Steps: 20-50, Sampler: DPM++ 3M SDE Karras, CFG scale: 4-8 By TissueAI
## Download model
Weights for this model are... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "UNICODE\u0000\u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000u\... | MarkBW/ShinYuna-Itzy | null | [
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| # ShinYuna-Itzy
<Gallery />
## Model description
This is a LORA model of Not Itzy - Yuna It should work well with any photorealistic models, You'll get best results with a LORA weight 0.7-0.9, Steps: 20-50, Sampler: DPM++ 3M SDE Karras, CFG scale: 4-8 By TissueAI
## Download model
Weights for this model are... | [
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null | null | https://civitai.com/models/182051/sui-isekai-ojisan | {"license": "creativeml-openrail-m"} | LarryAIDraw/TsundereElfV2_2prod | null | [
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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": []} | moriire/Qwen0.5-healthcare | null | [
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#transformers #safetensors #arxiv-1910.09700 #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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null | null | https://civitai.com/models/392180/hayase-yuuka-or-blue-archive | {"license": "creativeml-openrail-m"} | LarryAIDraw/yuuka_scarxzys | null | [
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feature-extraction | transformers | # pet-shop-100-64-4_9062874564
## Model Description
pet-shop-100-64-4_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
This the ... | {} | florianhoenicke/pet-shop-100-64-4_9062874564 | null | [
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"bert",
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#transformers #safetensors #bert #feature-extraction #endpoints_compatible #region-us
| # pet-shop-100-64-4_9062874564
## Model Description
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null | transformers |
Original model link: [CohereForAI/c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus).
For imatrix data generation, kalomaze's `groups_merged.txt` were used, you can find it [here](https://github.com/ggerganov/llama.cpp/files/14194570/groups_merged.txt).
Original model README below.
# Mode... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers"} | intervitens/c4ai-command-r-plus-GGUF-iMat | null | [
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| Original model link: CohereForAI/c4ai-command-r-plus.
For imatrix data generation, kalomaze's 'groups\_merged.txt' were used, you can find it here.
Original model README below.
Model Card for C4AI Command R+
==============================
This model is non-quantized version of C4AI Command R+. You can find the ... | [
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