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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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# Model Card for Model ID
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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": ["unsloth"]} | Demonthos/llama3 | null | [
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text-generation | transformers |
# Uploaded model
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- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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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": []} | bassemessam/Arabic-bank77-intent-classification | 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 | transformers |
# Model Card for Model ID
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text-generation | transformers |
# **csg-wukong-1B-sft-dpo-bf16** [[中文]](#chinese) [[English]](#english)
<a id="english"></a>
<p align="center">
<img width="900px" alt="OpenCSG" src="./csg-wukong-logo-green.jpg">
</p>
<p align="center"><a href="https://portal.opencsg.com/models">[OpenCSG Community]</a> <a href="https://github.com/o... | {"language": ["en"], "license": "apache-2.0", "tags": ["code"], "pipeline_tag": "text-generation"} | opencsg/csg-wukong-1B-sft-dpo-bf16 | null | [
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# csg-wukong-1B-sft-dpo-bf16 [[中文]](#chinese) [[English]](#english)
<a id="english"></a>
<p align="center">
<img width="900px" alt="OpenCSG" src="./URL">
</p>
<p align="center"><a href="URL Community]</a> <a href="URL <a href="URL <a href="URL </p>
</div>
OpenCSG stands for Converged resources, ... | [
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null | transformers |
# Uploaded model
- **Developed by:** Trelis
- **License:** apache-2.0
- **Finetuned from model :** NousResearch/Meta-Llama-3-8B-Instruct
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "NousResearch/Meta-Llama-3-8B-Instruct"} | Trelis/Meta-Llama-3-8B-Instruct-no-fin-advice-adapters | null | [
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# Uploaded model
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fill-mask | 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. -->
# da_distilbert
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-cased", "model-index": [{"name": "da_distilbert", "results": []}]} | gc394/da_distilbert | null | [
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| da\_distilbert
==============
This model is a fine-tuned version of distilbert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6089
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More info... | [
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text-generation | transformers |
# Llama-3-70B-Instruct-ov-fp16-int4-sym
## Built with Meta Llama 3
## Model Description
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|
# Llama-3-70B-Instruct-ov-fp16-int4-sym
## Built with Meta Llama 3
## Model Description
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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_v39 | 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 | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-7B-layer-mix-bpw-4.0 | null | [
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"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers |
# Uploaded model
- **Developed by:** ntvcie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/tinyllama-bnb-4bit"} | ntvcie/TinyLlamaVinhntV01 | null | [
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|
# Uploaded model
- Developed by: ntvcie
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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text-generation | null |
# tushar310/Phi-3-mini-128k-instruct-Q4_0-GGUF
This model was converted to GGUF format from [`microsoft/Phi-3-mini-128k-instruct`](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origin... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "llama-cpp", "gguf-my-repo"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations... | tushar310/Phi-3-mini-128k-instruct-Q4_0-GGUF | null | [
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#gguf #nlp #code #llama-cpp #gguf-my-repo #text-generation #en #license-mit #region-us
|
# tushar310/Phi-3-mini-128k-instruct-Q4_0-GGUF
This model was converted to GGUF format from 'microsoft/Phi-3-mini-128k-instruct' 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.
CL... | [
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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. -->
# distilbert-base-uncased-finetuned-patient-doctor-text-classifier-eng
This model is a fine-tuned version of [distilbert-base-unca... | {"language": "en", "tags": ["distilbert-base-uncased", "text-classification", "patient", "doctor"], "widget": [{"text": "I've got flu"}, {"text": "I prescribe you some drugs and you need to stay at home for a couple of days"}, {"text": "Let's move to the theatre this evening!"}]} | LukeGPT88/patient-doctor-text-classifier-eng | null | [
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"region:us"
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| distilbert-base-uncased-finetuned-patient-doctor-text-classifier-eng
====================================================================
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: 0.0516
* Accuracy: 0.9879
... | [
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text-generation | transformers | # Untitled Model (1)
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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/C... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["EleutherAI/llemma_7b", "codellama/CodeLlama-7b-hf"]} | JyoP/merged_llemma_codeLlama-ties | null | [
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"region:us"
] | null | 2024-04-30T14:41:16+00:00 | [
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| # Untitled Model (1)
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using codellama/CodeLlama-7b-hf as a base.
### Models Merged
The following models were included in the merge:
* EleutherAI/llemma_7b
### C... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/fiveflow/KoLlama-3-8B-Instruct
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer"], "base_model": "fiveflow/KoLlama-3-8B-Instruct", "quantized_by": "mradermacher"} | mradermacher/KoLlama-3-8B-Instruct-GGUF | null | [
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] | null | 2024-04-30T14:41:45+00:00 | [] | [
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#transformers #gguf #generated_from_trainer #en #base_model-fiveflow/KoLlama-3-8B-Instruct #license-apache-2.0 #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... | [] | [
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] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# ai-text-detector
This model is a fine-tuned version of [tf_model.h5](https://huggingface.co/Yuhhi/tf_model.h5) on an unknown dataset.
... | {"tags": ["generated_from_keras_callback"], "base_model": "tf_model.h5", "model-index": [{"name": "ai-text-detector", "results": []}]} | Yuhhi/ai-text-detector | null | [
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"has_space",
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] | null | 2024-04-30T14:42:08+00:00 | [] | [] | TAGS
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|
# ai-text-detector
This model is a fine-tuned version of tf_model.h5 on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## ... | [
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text-generation | transformers | # AnFeng
**~30B**, SFT...
**Chinese, English**
Test 0 of all.
Released as an early preview of our v3 LLMs.
The v3 series covers the "Shi-Ci", "AnFeng" and "Cecilia" LLM products.
The sizes are labelled from small to large "Nano" "Leap" "Pattern" "Avocet "Robin" "Kestrel" | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "library_name": "transformers", "pipeline_tag": "text-generation", "inference": false} | NLPark/AnFeng_v3_Avocet | null | [
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"region:us"
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#transformers #safetensors #cohere #text-generation #conversational #en #license-cc-by-nc-nd-4.0 #autotrain_compatible #text-generation-inference #region-us
| # AnFeng
~30B, SFT...
Chinese, English
Test 0 of all.
Released as an early preview of our v3 LLMs.
The v3 series covers the "Shi-Ci", "AnFeng" and "Cecilia" LLM products.
The sizes are labelled from small to large "Nano" "Leap" "Pattern" "Avocet "Robin" "Kestrel" | [
"# AnFeng\n~30B, SFT...\n\nChinese, English\nTest 0 of all.\nReleased as an early preview of our v3 LLMs.\nThe v3 series covers the \"Shi-Ci\", \"AnFeng\" and \"Cecilia\" LLM products.\nThe sizes are labelled from small to large \"Nano\" \"Leap\" \"Pattern\" \"Avocet \"Robin\" \"Kestrel\""
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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. -->
# roberta_es_v2
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "roberta_es_v2", "results": []}]} | enriquesaou/roberta_es_v2 | null | [
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"region:us"
] | null | 2024-04-30T14:43:17+00:00 | [] | [] | TAGS
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| roberta\_es\_v2
===============
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5649
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mor... | [
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fill-mask | 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. -->
# final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds
This model is a fine-tuned version of [BSC-LT/roberta-base-biomed... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "BSC-LT/roberta-base-biomedical-clinical-es", "model-index": [{"name": "final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds", "results": []}]} | manucos/final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds | null | [
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"autotrain_compatible",
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] | null | 2024-04-30T14:45:24+00:00 | [] | [] | TAGS
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| final-ft\_\_roberta-base-biomedical-clinical-es\_\_70k-ultrasounds
==================================================================
This model is a fine-tuned version of BSC-LT/roberta-base-biomedical-clinical-es on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5971
Model ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# falcon7b-finetuned-On-Screenplays
This model is a fine-tuned version of [vilsonrodrigues/falcon-7b-instruct-sharded](https://hug... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "vilsonrodrigues/falcon-7b-instruct-sharded", "model-index": [{"name": "falcon7b-finetuned-On-Screenplays", "results": []}]} | Elhassnaoui-2001/falcon7b-finetuned-On-Screenplays | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-vilsonrodrigues/falcon-7b-instruct-sharded #license-apache-2.0 #region-us
|
# falcon7b-finetuned-On-Screenplays
This model is a fine-tuned version of vilsonrodrigues/falcon-7b-instruct-sharded on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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"## Intended uses & limitations\n\nMore information needed",
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text-generation | transformers |
## **Llama-3-8B-Instruct-Gradient-1048k**
[exllamav2](https://github.com/turboderp/exllamav2) quant for [gradientai/Llama-3-8B-Instruct-Gradient-1048k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-Gradient-1048k)
**Original model information:**
<a href="https://www.gradient.ai" target="_blank"><img src="h... | {"language": ["en"], "license": "llama3", "tags": ["meta", "llama-3", "8-bit"], "pipeline_tag": "text-generation", "base_model": ["gradientai/Llama-3-8B-Instruct-Gradient-1048k"]} | Slvcxc/Llama-3-8B-Instruct-Gradient-1048k-8.0bpw-h8-exl2 | null | [
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"en"
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| Llama-3-8B-Instruct-Gradient-1048k
----------------------------------
exllamav2 quant for gradientai/Llama-3-8B-Instruct-Gradient-1048k
Original model information:
[<img src="URL width="200"/>](URL)
Llama-3 8B Gradient Instruct 1048k
==================================
Gradient incorporates your data to deploy... | [
"### Use with transformers\n\n\nYou can run conversational inference using the Transformers pipeline abstraction, or by leveraging the Auto classes with the 'generate()' function. Let's see examples of both.",
"#### Transformers pipeline",
"#### Transformers AutoModelForCausalLM",
"### Use with 'llama3'\n\n\n... | [
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text-generation | transformers |
# phi-2-int8-ov
* Model creator: [Microsoft](https://huggingface.co/microsoft)
* Original model: [phi-2](https://huggingface.co/microsoft/phi-2)
## Description
This is [phi-2](https://huggingface.co/microsoft/phi-2) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2024/documentation/openvino-ir-form... | {"language": ["en"], "license": "mit", "license_link": "https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE"} | OpenVINO/phi-2-int8-ov | null | [
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#transformers #openvino #phi #text-generation #en #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# phi-2-int8-ov
* Model creator: Microsoft
* Original model: phi-2
## Description
This is phi-2 model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to INT8 by NNCF.
## Quantization Parameters
Weight compression was performed using 'nncf.compress_weights' with the fol... | [
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text2text-generation | transformers | ## Eval results on WikiLarge
We obtain the following results on ```validation``` and ```test``` sets of WikiLarge:
| Set | SARI | BLEU |
|------------|-------|-------|
| validation | 44.4 | 27.38 |
| test | 39.16 | 31.62 |
## EASSE evaluation
### TurkCorpus
We obtain the following results on ```valid... | {"language": ["en"], "tags": ["sentence-simplification"], "metrics": ["sari", "bleu"], "pipeline_tag": "text2text-generation"} | waboucay/bart-large-simplification-wikilarge-original | null | [
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"autotrain_compatible",
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"en"
] | TAGS
#transformers #safetensors #bart #text2text-generation #sentence-simplification #en #autotrain_compatible #endpoints_compatible #region-us
| Eval results on WikiLarge
-------------------------
We obtain the following results on and sets of WikiLarge:
Set: validation, SARI: 44.4, BLEU: 27.38
Set: test, SARI: 39.16, BLEU: 31.62
EASSE evaluation
----------------
### TurkCorpus
We obtain the following results on and sets of the Turk corpus:
### ASS... | [
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"### ASSET\n\n\nWe obtain the following results on and sets of the ASSET corpus:"
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] |
text-generation | transformers |
# **csg-wukong-1B-sft-bf16** [[中文]](#chinese) [[English]](#english)
<a id="english"></a>
<p align="center">
<img width="900px" alt="OpenCSG" src="./csg-wukong-logo-green.jpg">
</p>
<p align="center"><a href="https://portal.opencsg.com/models">[OpenCSG Community]</a> <a href="https://github.com/openc... | {"language": ["en"], "license": "apache-2.0", "tags": ["code"], "pipeline_tag": "text-generation"} | opencsg/csg-wukong-1B-sft-bf16 | null | [
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"text-generation",
"code",
"conversational",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T14:48:46+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #code #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# csg-wukong-1B-sft-bf16 [[中文]](#chinese) [[English]](#english)
<a id="english"></a>
<p align="center">
<img width="900px" alt="OpenCSG" src="./URL">
</p>
<p align="center"><a href="URL Community]</a> <a href="URL <a href="URL <a href="URL </p>
</div>
OpenCSG stands for Converged resources, Soft... | [
"# csg-wukong-1B-sft-bf16 [[中文]](#chinese) [[English]](#english)\n\n<a id=\"english\"></a>\n\n<p align=\"center\">\n<img width=\"900px\" alt=\"OpenCSG\" src=\"./URL\">\n</p>\n\n<p align=\"center\"><a href=\"URL Community]</a> <a href=\"URL <a href=\"URL <a href=\"URL </p>\n\n\n</div>\nOpenCSG stands... | [
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object-detection | 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": []} | HeavenWaters/detr-finetuned-wheathead-v2 | null | [
"transformers",
"safetensors",
"detr",
"object-detection",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T14:49:33+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #detr #object-detection #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.
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- Funded by [optional]:
- Shared by [optional]:
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feature-extraction | transformers |
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
```python
from setfit import SetFitModel
model = SetFitModel.from_pretrained("phospho-small-7c8faca")
outputs = model.predict(["This is a s... | {"language": "en", "license": "apache-2.0"} | phospho-app/phospho-small-7c8faca | null | [
"transformers",
"safetensors",
"mpnet",
"feature-extraction",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T14:50:07+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mpnet #feature-extraction #en #license-apache-2.0 #endpoints_compatible #region-us
|
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
## References
This work was possible thanks to the SetFit library and the work of:
Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo ... | [
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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. -->
# adapter_ThaiSC_LLM_Scamper
This model is a fine-tuned version of [openthaigpt/openthaigpt-1.0.0-7b-chat](https://huggingface.co/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "openthaigpt/openthaigpt-1.0.0-7b-chat", "model-index": [{"name": "adapter_ThaiSC_LLM_Scamper", "results": []}]} | Thirawarit/adapter_ThaiSC_LLM_Scamper | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:openthaigpt/openthaigpt-1.0.0-7b-chat",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T14:52:09+00:00 | [] | [] | TAGS
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|
# adapter_ThaiSC_LLM_Scamper
This model is a fine-tuned version of openthaigpt/openthaigpt-1.0.0-7b-chat 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",
"## Training and evaluation data\n\nMore information needed",
... | [
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fill-mask | 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. -->
# tda_1971_85_distilbert
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-case... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-cased", "model-index": [{"name": "tda_1971_85_distilbert", "results": []}]} | gc394/tda_1971_85_distilbert | null | [
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| tda\_1971\_85\_distilbert
=========================
This model is a fine-tuned version of distilbert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6890
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: 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: 10\n* mixed\\_pre... | [
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fill-mask | 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. -->
# tda_1986_00_distilbert
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-case... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-cased", "model-index": [{"name": "tda_1986_00_distilbert", "results": []}]} | gc394/tda_1986_00_distilbert | null | [
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| tda\_1986\_00\_distilbert
=========================
This model is a fine-tuned version of distilbert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4929
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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fill-mask | 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. -->
# tda_01_16_distilbert
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-cased", "model-index": [{"name": "tda_01_16_distilbert", "results": []}]} | gc394/tda_01_16_distilbert | null | [
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| tda\_01\_16\_distilbert
=======================
This model is a fine-tuned version of distilbert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3717
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Suru
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Suru/Llama3_8b_gpt_Tweets | null | [
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# Uploaded model
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null | null |
GGUF version of [sentence-transformers/multi-qa-MiniLM-L6-cos-v1](https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1). | {"base_model": "sentence-transformers/multi-qa-MiniLM-L6-cos-v1"} | Felladrin/gguf-multi-qa-MiniLM-L6-cos-v1 | null | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 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 easy when ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | Mihaiii/test19 | null | [
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|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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text-generation | transformers | # Wise-EMO-2B
## Overview
Wise-EMO-2B is a 2.5 billion parameter conversational AI model that combines emotional intelligence capabilities from the EMO-2B model with insights from ancient Indian wisdom traditions. By integrating the wealth of knowledge from philosophies like Yoga, Vedanta, Buddhism, Jainism, Sikhism... | {"language": ["en"], "license": "apache-2.0", "tags": ["EMO", "HelpingAI", "Wisdom", "Philosophy", "AncientIndianKnowledge"], "datasets": ["Abhaykoul/Ancient-Indian-Wisdom"], "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "What insights can we gain from the Bhagavad Gita about t... | OEvortex/Wise-EMO-2B | null | [
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"license:apache-2.0",
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| # Wise-EMO-2B
## Overview
Wise-EMO-2B is a 2.5 billion parameter conversational AI model that combines emotional intelligence capabilities from the EMO-2B model with insights from ancient Indian wisdom traditions. By integrating the wealth of knowledge from philosophies like Yoga, Vedanta, Buddhism, Jainism, Sikhism... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 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 easy when ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | Mihaiii/test20 | null | [
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|
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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... | dirkneethling/ppo-LunarLander-v2 | null | [
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|
# 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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automatic-speech-recognition | 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": []} | adrianmedinav/whisper-large-v3_ro_epochs_1_2024-04-30_13-43-03 | 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-generation | transformers |
# phi-2-fp16-ov
* Model creator: [Microsoft](https://huggingface.co/microsoft)
* Original model: [phi-2](https://huggingface.co/microsoft/phi-2)
## Description
This is [phi-2](https://huggingface.co/microsoft/phi-2) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2024/documentation/openvino-ir-form... | {"language": ["en"], "license": "mit", "license_link": "https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE"} | OpenVINO/phi-2-fp16-ov | null | [
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|
# phi-2-fp16-ov
* Model creator: Microsoft
* Original model: phi-2
## Description
This is phi-2 model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to FP16.
## Compatibility
The provided OpenVINO™ IR model is compatible with:
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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. -->
# dpo_harmlessharmless_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr1e-05
This model is a fine-tuned version of [gpt2](https://hu... | {"license": "mit", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "dpo_harmlessharmless_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr1e-05", "results": []}]} | Holarissun/dpo_harmlessharmless_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr1e-05 | null | [
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|
# dpo_harmlessharmless_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr1e-05
This model is a fine-tuned version of gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training ... | [
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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. -->
# meditron-7b-dpo-full-sft-wo-kqa_silver_wogold
This model is a fine-tuned version of [Minbyul/meditron-7b-wo-kqa_silver_wogold-sf... | {"license": "llama2", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "Minbyul/meditron-7b-wo-kqa_silver_wogold-sft", "model-index": [{"name": "meditron-7b-dpo-full-sft-wo-kqa_silver_wogo... | Minbyul/meditron-7b-dpo-full-sft-wo-kqa_silver_wogold | null | [
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|
# meditron-7b-dpo-full-sft-wo-kqa_silver_wogold
This model is a fine-tuned version of Minbyul/meditron-7b-wo-kqa_silver_wogold-sft on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6249
- Rewards/chosen: -0.0145
- Rewards/rejected: -0.1983
- Rew... | [
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text-to-image | null |
## reverse
<img src="https://via.placeholder.com/468x300?text=App+Screenshot+Here" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details - version 1
[![Try this model](https://img.shields.io/badge/try_thi... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/reverse | null | [
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#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| reverse
-------
<img src="URL alt="Generated on Image Pipeline" style="border-radius: 10px;">
This lora model is uploaded on URL
Model details - version 1
![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 ... | [
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sentence-similarity | sentence-transformers | # Squirtle
Squirtle is a distill of [bge-base-en-v1.5](BAAI/bge-base-en-v1.5).
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete ([click here for demo](https://mihaiii.github.io/semantic-autocomplete/)).</span>
Make sure you also pass `pipelineParams={{ pooling: "cl... | {"license": "mit", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "bge", "mteb"], "datasets": ["Mihaiii/qa-assistant"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "Squirtle", "results": [{"task": {"type": "Classification"}, "d... | Mihaiii/Squirtle | null | [
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"license:mit",
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"endpoints_compatible",
"region:us"
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#sentence-transformers #onnx #safetensors #bert #feature-extraction #sentence-similarity #bge #mteb #dataset-Mihaiii/qa-assistant #license-mit #model-index #endpoints_compatible #region-us
| # Squirtle
Squirtle is a distill of bge-base-en-v1.5.
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete (click here for demo).</span>
Make sure you also pass 'pipelineParams={{ pooling: "cls", normalize: true }}' since the default pooling in the component is mean.
... | [
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text-to-image | null |
## Ring
<img src="https://via.placeholder.com/468x300?text=App+Screenshot+Here" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details - ring gag
[![Try this model](https://img.shields.io/badge/try_this_mo... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Ring | null | [
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#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| Ring
----
<img src="URL alt="Generated on Image Pipeline" style="border-radius: 10px;">
This lora model is uploaded on URL
Model details - ring gag
![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 'A... | [
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"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
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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. -->
# WangchanBERTa
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Inte... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "WangchanBERTa", "results": []}]} | tidarat/WangchanBERTa | null | [
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# WangchanBERTa
This model was trained from scratch 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
The following hyperparame... | [
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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": []} | abc88767/model19 | 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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- Model type:
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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. -->
# O0430HMA25
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "O0430HMA25", "results": []}]} | Litzy619/O0430HMA25 | null | [
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| O0430HMA25
==========
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1464
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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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. -->
# O0430HMA26
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "O0430HMA26", "results": []}]} | Litzy619/O0430HMA26 | null | [
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#safetensors #generated_from_trainer #base_model-allenai/OLMo-1B #license-apache-2.0 #region-us
| O0430HMA26
==========
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0687
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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sentence-similarity | sentence-transformers | # Wartortle
Wartortle is a distill of [bge-base-en-v1.5](BAAI/bge-base-en-v1.5).
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete ([click here for demo](https://mihaiii.github.io/semantic-autocomplete/)).</span>
Make sure you also pass `pipelineParams={{ pooling: "... | {"license": "mit", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "bge", "mteb"], "datasets": ["Mihaiii/qa-assistant"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "Wartortle", "results": [{"task": {"type": "Classification"}, "... | Mihaiii/Wartortle | null | [
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| # Wartortle
Wartortle is a distill of bge-base-en-v1.5.
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete (click here for demo).</span>
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null | peft |
# Model Card for Model ID
Unsloth base model Code Llama2 34b (https://huggingface.co/unsloth/codellama-34b-bnb-4bit)
trained on Alpaca Dataset.
This is a repository for another 34B instruct-tuned version.
```
Tue Apr 30 18:21:29 2024
+------------------------------------------------------------------------------... | {"library_name": "peft", "base_model": "unsloth/codellama-34b-bnb-4bit"} | vincentoh/codellama-34b-alpaca-instruct | null | [
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#peft #safetensors #base_model-unsloth/codellama-34b-bnb-4bit #region-us
|
# Model Card for Model ID
Unsloth base model Code Llama2 34b (URL
trained on Alpaca Dataset.
This is a repository for another 34B instruct-tuned version.
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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"]} | dbaek111/Mistral-7B-v0.2-Elon_407_HPC_Q | null | [
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"1910.09700"
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#transformers #safetensors #mistral #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #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]:
- Shared by [optional]:
- Model type:
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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
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | lzacchini/Reinforce-Pixelcopter-PLE-v0 | null | [
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# 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: URL
| [
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null | transformers |
`Epoch = 0, Step = 1000`
# Model Card for Model ID
```
python pretrain.py \
--data-path "chart-rela-ins/unichart-pretrain-table-extraction-v2" \
--train-images "... | {"library_name": "transformers", "tags": []} | chart-rela-ins/pretrain-small-unichart-table-bs64-high-lr | null | [
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"safetensors",
"Chart-rela-instruct",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #Chart-rela-instruct #endpoints_compatible #region-us
|
'Epoch = 0, Step = 1000'
# Model Card for Model ID
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# rajivsah240/my_awesome_qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "rajivsah240/my_awesome_qa_model", "results": []}]} | rajivsah240/my_awesome_qa_model | null | [
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"license:apache-2.0",
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"region:us"
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#transformers #tf #distilbert #question-answering #generated_from_keras_callback #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| rajivsah240/my\_awesome\_qa\_model
==================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 3.4612
* Validation Loss: 2.2288
* Epoch: 0
Model description
-----------------
More i... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | Cheekydave/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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token-classification | flair |
# Recognition of UTEs and company mentions in Flair
This is a model trained using [Flair](https://github.com/flairNLP/flair/) to recognise mentions of UTEs (Unión Temporal de Empresas)
and companies in public tenders.
It is a finetune of the flair/ner-spanish-large model (retrained from scratch to include additiona... | {"language": "es", "license": "apache-2.0", "tags": ["flair", "token-classification", "sequence-tagger-model"], "datasets": ["conll2003", "BSC-LT/NextProcurement-NER-Spanish-UTE-Company-annotated"], "widget": [{"text": "PODACESA OBRAS Y SERVICIOS, S.A, y ECR INFRAESTRUCTURAS Y SERVICIOS HIDR\u00c1ULICOS S.L., constitui... | BSC-LT/NextProcurement-NER-Spanish-UTE-Company | null | [
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"arxiv:2011.06993",
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|
# Recognition of UTEs and company mentions in Flair
This is a model trained using Flair to recognise mentions of UTEs (Unión Temporal de Empresas)
and companies in public tenders.
It is a finetune of the flair/ner-spanish-large model (retrained from scratch to include additional tags).
Based on document-level XLM-... | [
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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. -->
# vissa_test
This model is a fine-tuned version of [openthaigpt/openthaigpt-1.0.0-7b-chat](https://huggingface.co/openthaigpt/open... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "openthaigpt/openthaigpt-1.0.0-7b-chat", "model-index": [{"name": "vissa_test", "results": []}]} | Vissa15AI/vissa_test | null | [
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"license:apache-2.0",
"region:us"
] | null | 2024-04-30T15:18:58+00:00 | [] | [] | TAGS
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|
# vissa_test
This model is a fine-tuned version of openthaigpt/openthaigpt-1.0.0-7b-chat 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 hyper... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** yadz45
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["fr"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "pipeline_tag": "text-generation"} | yadz45/IA_lo2 | null | [
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"fr",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T15:19:46+00:00 | [] | [
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|
# Uploaded model
- Developed by: yadz45
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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... | jchenmath/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-30T15:22:53+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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] |
text-to-image | diffusers |
# KrazyGlue
The purpose of this model is to keep you glued to the screen generating images.
Samples and prompts:
(Click for larger)
Top left: a cute girl with fre... | {"language": ["en"], "license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["Realism", "Girls", "Cute", "cordonsolution8", "iamxenos", "RIXYN", "Barons", "stable-diffusion", "stable-diffusion-diffusers", "diffusers", "text-to-image"], "pipeline_tag": "text-to-image"} | Yntec/KrazyGlue | null | [
"diffusers",
"safetensors",
"Realism",
"Girls",
"Cute",
"cordonsolution8",
"iamxenos",
"RIXYN",
"Barons",
"stable-diffusion",
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"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"... | null | 2024-04-30T15:23:01+00:00 | [] | [
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] | TAGS
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|
# KrazyGlue
The purpose of this model is to keep you glued to the screen generating images.
Samples and prompts:
!Free AI image generator Crazy Glue samples
(Click for larger)
Top left: a cute girl with freckles on her face, cgsociety unreal engine, wet t-shirt, short skirt, style of aenami alena, trending on art... | [
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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": []} | Luluuu/0429_SEASON_baseline_checkpoint_4854 | 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 | 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": []} | usernameisanna/blip2-deit-seed-epoch-1 | null | [
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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. -->
# selfbiorag-7b-dpo-full-sft-wo-kqa_silver_wogold
This model is a fine-tuned version of [Minbyul/selfbiorag-7b-wo-kqa_silver_wogol... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "Minbyul/selfbiorag-7b-wo-kqa_silver_wogold-sft", "model-index": [{"name": "selfbiorag-7b-dpo-full-sft-wo-kqa_silver_wogold", "results": [... | Minbyul/selfbiorag-7b-dpo-full-sft-wo-kqa_silver_wogold | null | [
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| selfbiorag-7b-dpo-full-sft-wo-kqa\_silver\_wogold
=================================================
This model is a fine-tuned version of Minbyul/selfbiorag-7b-wo-kqa\_silver\_wogold-sft on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3027
* ... | [
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null | null | Number of experts present in the library: 8
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| e0 | phi-2 | sordonia/flan-10k-flat/None | skilled_lora |
| e1 | phi-2 | sordonia/flan-10k-flat/None | skilled_lora |
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fill-mask | 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. -->
# tda_2001_16_distilbert
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-case... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-cased", "model-index": [{"name": "tda_2001_16_distilbert", "results": []}]} | gc394/tda_2001_16_distilbert | null | [
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| tda\_2001\_16\_distilbert
=========================
This model is a fine-tuned version of distilbert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2095
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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feature-extraction | 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": []} | gutsartificial/RecipeBert | 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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- Funded by [optional]:
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/elinas/Llama-3-8B-Ultra-Instruct
You should use `--override-kv tokenizer.ggml.pre=str:llama3` and a current llama.cpp version to wor... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "elinas/Llama-3-8B-Ultra-Instruct", "quantized_by": "mradermacher"} | mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
You should use '--override-kv URL=str:llama3' and a current URL version to work around a bug in URL that made these quants. (see 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 de... | [] | [
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null | transformers |
`Epoch = 1, Global Step = 7669`
# Training Script
```
python pretrain.py \
--data-path "chart-rela-ins/unichart-pretrain-table-extraction-v2" \
--train-images "/w... | {"library_name": "transformers", "tags": []} | chart-rela-ins/pretrain-small-unichart-table-bs64-low-lr | null | [
"transformers",
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"endpoints_compatible",
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#transformers #safetensors #Chart-rela-instruct #endpoints_compatible #region-us
|
'Epoch = 1, Global Step = 7669'
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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. -->
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "llava-1.5-7b-hf-ft-mix-vsft", "results": []}]} | GURU369/llava-1.5-7b-hf-ft-mix-vsft | null | [
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"region:us"
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|
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf 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 h... | [
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null | null | Neo_AD_MotionLora_V1
[Watch the Video](https://huggingface.co/Neofuturism/Neo_AD_MotionLora_V1/blob/main/MOTION_LORA.mp4)
4 Motion Loras trained on AnimateDiff V3
1. Neo360Pan: Slow 360 pan around center
2. Neo360Pan_B: Same as above, subjective smoother output
3. NeoPanUp: Background and foreground sliding upward
... | {"license": "apache-2.0"} | Neofuturism/Neo_AD_MotionLora_V1 | null | [
"license:apache-2.0",
"region:us"
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#license-apache-2.0 #region-us
| Neo_AD_MotionLora_V1
Watch the Video
4 Motion Loras trained on AnimateDiff V3
1. Neo360Pan: Slow 360 pan around center
2. Neo360Pan_B: Same as above, subjective smoother output
3. NeoPanUp: Background and foreground sliding upward
4. NeoPanDown: Background and foreground sliding downward
5. NeoMoveIn: Slow move for... | [] | [
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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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"language": ["da"], "license": "other", "library_name": "transformers", "tags": ["trl", "sft", "generated_from_trainer", "danish"], "datasets": ["kobprof/skolegpt-instruct"], "base_model": "meta-llama/Meta-Llama-3-8B", "pipeline_tag": "text-generation", "model-index": [{"name": "Llama-3-8B-instruct-dansk", "results": ... | emillykkejensen/Llama-3-8B-instruct-dansk | null | [
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|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# Llama-3-8B-instruct-dansk
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the kobprof/skolegpt-instruct dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9477
## Model description
More infor... | [
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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": []} | ilhemhmz752/Agrobot-llama2-ft | null | [
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"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #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.
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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. -->
# agrobot-ft
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-ch... | {"license": "llama2", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "agrobot-ft", "results": []}]} | ilhemhmz752/agrobot-ft | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| agrobot-ft
==========
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7517
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More info... | [
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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?"}]}]} | nanxiz/autotrain-fzpxr-ximzt | null | [
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#transformers #tensorboard #safetensors #phi3 #text-generation #autotrain #text-generation-inference #peft #conversational #custom_code #license-other #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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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": []} | shallow6414/jmgvp9n | 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-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": []} | golf2248/10jfipg | null | [
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# Model Card for Model ID
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="raulgadea/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | raulgadea/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## 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. -->
# distilbert-base-uncased-trained
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-trained", "results": []}]} | Lasghar/distilbert-base-uncased-trained | null | [
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"base_model:distilbert-base-uncased",
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#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-trained
===============================
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: 0.3511
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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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. -->
# dbloom-1b1-alpha-1
This model is a fine-tuned version of [bigscience/bloomz-1b1](https://huggingface.co/bigscience/bloomz-1b1) o... | {"license": "bigscience-bloom-rail-1.0", "tags": ["generated_from_trainer"], "base_model": "bigscience/bloomz-1b1", "model-index": [{"name": "dbloom-1b1-alpha-1", "results": []}]} | greenbureau/dbloom-1b1-alpha-1 | null | [
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| dbloom-1b1-alpha-1
==================
This model is a fine-tuned version of bigscience/bloomz-1b1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 5.7774
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
M... | [
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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": "HiTZ/Medical-mT5-large"} | Mikelium5/Medical-mT5-large_art-nat-int-gal-sep-LoRa | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Finetuned from model [optional]:
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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": []} | HenryCai1129/adapter-llama-adaptertoxic2nontoxic-100-50-0.0003 | null | [
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# Model Card for Model ID
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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": []} | abc88767/model20 | null | [
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null | transformers |
# Visually Guided Generative Text-Layout Pre-training for Document Intelligence
The ViTLP model was proposed in [Visually Guided Generative Text-Layout Pre-training for Document Intelligence](https://arxiv.org/abs/2403.16516), which is a generative foundation model for document intelligence. We provide the pre-traine... | {"language": ["en"], "license": "mit"} | veason/ViTLP-medium | null | [
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# Visually Guided Generative Text-Layout Pre-training for Document Intelligence
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text-generation | transformers | # [MaziyarPanahi/LlaMAndement-13b-GGUF](https://huggingface.co/MaziyarPanahi/LlaMAndement-13b-GGUF)
- Model creator: [AgentPublic](https://huggingface.co/AgentPublic)
- Original model: [AgentPublic/LlaMAndement-13b](https://huggingface.co/AgentPublic/LlaMAndement-13b)
## Description
[MaziyarPanahi/LlaMAndement-13b-GGU... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "llama", "llama-2", "text-generation"], "model_name": "LlaMAndement-13b-GGUF", "base_model": "AgentPublic/LlaMAndement-13b", "inference": false, "model_creator": "AgentPublic", "pipeline_tag": "text-generation", "qua... | MaziyarPanahi/LlaMAndement-13b-GGUF | null | [
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| # MaziyarPanahi/LlaMAndement-13b-GGUF
- Model creator: AgentPublic
- Original model: AgentPublic/LlaMAndement-13b
## Description
MaziyarPanahi/LlaMAndement-13b-GGUF contains GGUF format model files for AgentPublic/LlaMAndement-13b.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. I... | [
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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": []} | OwOOwO/finalupdate | 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 | 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": []} | jamesohe/casaudit3-4bit-p02-adapter | null | [
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null | transformers |
# Uploaded model
- **Developed by:** yadz45
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | yadz45/IA_simple2 | null | [
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# Uploaded model
- Developed by: yadz45
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
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<img src="URL width="200"/>
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="raulgadea/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | raulgadea/q-Taxi-v3 | null | [
"Taxi-v3",
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers | # # Fast-Inference with Ctranslate2
Speedup inference while reducing memory by 2x-4x using int8 inference in C++ on CPU or GPU.
quantized version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf)
```bash
pip install ctranslate2
```
Checkpoint compatible to [ctranslate2>=3.22.0](... | {"language": ["en"], "tags": ["ctranslate2", "int8", "float16", "facebook", "meta", "pytorch", "llama", "llama-2"], "extra_gated_heading": "Access Llama 2 on Hugging Face", "extra_gated_description": "This is a form to enable access to Llama 2 on Hugging Face after you have been granted access from Meta. Please visit t... | Weblet/Llama-2-7b-chat-hf-ct2-int8 | null | [
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| # Fast-Inference with Ctranslate2
=================================
Speedup inference while reducing memory by 2x-4x using int8 inference in C++ on CPU or GPU.
quantized version of meta-llama/Llama-2-7b-chat-hf
Checkpoint compatible to ctranslate2>=3.22.0
* 'compute\_type=int8\_float16' for 'device="cuda"'
* 'c... | [
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text-to-image | null |
## ReaL
<img src="https://via.placeholder.com/468x300?text=App+Screenshot+Here" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details - FOOTJOB REAL
[![Try this model](https://img.shields.io/badge/try_thi... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/ReaL | null | [
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#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| ReaL
----
<img src="URL alt="Generated on Image Pipeline" style="border-radius: 10px;">
This lora model is uploaded on URL
Model details - FOOTJOB REAL
![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 you... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
A [LLaVA (Large Language and Vision Assistant)](https://github.com/haotian-liu/LLaVA) version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct)
## Model Details
Trained with this d... | {"base_model": "microsoft/Phi-3-mini-128k-instruct", "inference": false} | praysimanjuntak/llava-phi3-3.8b-lora | null | [
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# Model Card for Model ID
A LLaVA (Large Language and Vision Assistant) version of microsoft/Phi-3-mini-128k-instruct
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null | transformers |
# Uploaded model
- **Developed by:** Entreprenerdly
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Entreprenerdly/finetuned_llama3_unsloth_lora_model | null | [
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|
# Uploaded model
- Developed by: Entreprenerdly
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | Lasion/wav2vec2-base-vivos | null | [
"transformers",
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# Model Card for Model ID
## Model Details
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text-generation | transformers |
# dictalm2.0-yam-peleg-Mistral-instruct-Merge
dictalm2.0-yam-peleg-Mistral-instruct-Merge is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [yam-peleg/Hebrew-Mistral-7B](https://huggingface.co/yam-peleg/Hebrew-Mistral-7B)
... | {"tags": ["merge", "mergekit", "lazymergekit", "yam-peleg/Hebrew-Mistral-7B", "dicta-il/dictalm2.0-instruct"], "base_model": ["yam-peleg/Hebrew-Mistral-7B", "dicta-il/dictalm2.0-instruct"]} | itayl/dictalm2.0-1yam-peleg-Mistral-instruct-Merge | null | [
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# dictalm2.0-yam-peleg-Mistral-instruct-Merge
dictalm2.0-yam-peleg-Mistral-instruct-Merge is a merge of the following models using LazyMergekit:
* yam-peleg/Hebrew-Mistral-7B
* dicta-il/dictalm2.0-instruct
## Configuration
## Usage
| [
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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": []} | Trelis/Meta-Llama-3-8B-Instruct-forced-french-adapters | 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):
- License... | [
"# Model Card for Model ID",
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/chlee10/T3Q-Llama3-8B-dpo-v2.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "chlee10/T3Q-Llama3-8B-dpo-v2.0", "quantized_by": "mradermacher"} | mradermacher/T3Q-Llama3-8B-dpo-v2.0-GGUF | null | [
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"base_model:chlee10/T3Q-Llama3-8B-dpo-v2.0",
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#transformers #gguf #en #base_model-chlee10/T3Q-Llama3-8B-dpo-v2.0 #license-apache-2.0 #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... | [] | [
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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. -->
# FASHION-vision
This model is a fine-tuned version of [google/vit-huge-patch14-224-in21k](https://huggingface.co/google/vit-huge-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-huge-patch14-224-in21k", "model-index": [{"name": "FASHION-vision", "results": []}]} | nathanReitinger/FASHION-vision | null | [
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"image-classification",
"generated_from_trainer",
"base_model:google/vit-huge-patch14-224-in21k",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T16:06:16+00:00 | [] | [] | TAGS
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| FASHION-vision
==============
This model is a fine-tuned version of google/vit-huge-patch14-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2821
* Accuracy: 0.9034
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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": []} | omezzinemariem/codeqwen-text-to-RULE | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T16:07:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #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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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. -->
# roberta_en_v2
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "roberta_en_v2", "results": []}]} | enriquesaou/roberta_en_v2 | null | [
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"tensorboard",
"safetensors",
"roberta",
"question-answering",
"generated_from_trainer",
"base_model:FacebookAI/roberta-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T16:08:25+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #question-answering #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #endpoints_compatible #region-us
| roberta\_en\_v2
===============
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9374
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-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",
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