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null | null | ---
license: apache-2.0
base_model:
- OpenPipe/mistral-ft-optimized-1218
- mlabonne/NeuralHermes-2.5-Mistral-7B
tags:
- merge
- mergekit
- lazymergekit
- OpenPipe/mistral-ft-optimized-1218
- mlabonne/NeuralHermes-2.5-Mistral-7B
---
# NeuralPipe-7B-slerp
... | {} | shism/NeuralPipe-7B-slerp | null | [
"region:us"
] | null | 2024-04-11T05:56:59+00:00 | [] | [] | TAGS
#region-us
| ---
license: apache-2.0
base_model:
- OpenPipe/mistral-ft-optimized-1218
- mlabonne/NeuralHermes-2.5-Mistral-7B
tags:
- merge
- mergekit
- lazymergekit
- OpenPipe/mistral-ft-optimized-1218
- mlabonne/NeuralHermes-2.5-Mistral-7B
---
# NeuralPipe-7B-slerp
... | [
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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": []} | shtapm/whisper-large_0411_encoder_all_200steps | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #whisper #automatic-speech-recognition #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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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. -->
# zephyr-7b-gemma-sft-african-ultrachat
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemm... | {"license": "gemma", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["masakhane/african-ultrachat"], "base_model": "google/gemma-7b", "model-index": [{"name": "zephyr-7b-gemma-sft-african-ultrachat", "results": []}]} | masakhane/zephyr-7b-gemma-sft-african-ultrachat | null | [
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"text-generatio... | null | 2024-04-11T06:04:39+00:00 | [] | [] | TAGS
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| zephyr-7b-gemma-sft-african-ultrachat
=====================================
This model is a fine-tuned version of google/gemma-7b on the masakhane/african-ultrachat dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0802
Model description
-----------------
More information needed
Inte... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n*... | [
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null | null |
# DavidAU/Frankenstein-MoE-en-10.7Bx4-Q4_K_S-GGUF
This model was converted to GGUF format from [`MoEMoEKKung/Frankenstein-MoE-en-10.7Bx4`](https://huggingface.co/MoEMoEKKung/Frankenstein-MoE-en-10.7Bx4) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer t... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Frankenstein-MoE-en-10.7Bx4-Q4_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | 2024-04-11T06:05:05+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us
|
# DavidAU/Frankenstein-MoE-en-10.7Bx4-Q4_K_S-GGUF
This model was converted to GGUF format from 'MoEMoEKKung/Frankenstein-MoE-en-10.7Bx4' 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 ... | [
"# DavidAU/Frankenstein-MoE-en-10.7Bx4-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'MoEMoEKKung/Frankenstein-MoE-en-10.7Bx4' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the UR... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us \n# DavidAU/Frankenstein-MoE-en-10.7Bx4-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'MoEMoEKKung/Frankenstein-MoE-en-10.7Bx4' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on ... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# long-t5-local-base-finetuned-justification-v08
This model is a fine-tuned version of [google/long-t5-local-base](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/long-t5-local-base", "model-index": [{"name": "long-t5-local-base-finetuned-justification-v08", "results": []}]} | satyanshu404/long-t5-local-base-finetuned-justification-v08 | null | [
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"base_model:google/long-t5-local-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T06:06:55+00:00 | [] | [] | TAGS
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| long-t5-local-base-finetuned-justification-v08
==============================================
This model is a fine-tuned version of google/long-t5-local-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-07\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 50",
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole8", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"t... | joigalcar/Reinforce-CartPole8 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-11T06:09:31+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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automatic-speech-recognition | transformers |
# Model Card
- **Developed by:** [Cnam-LMSSC](https://huggingface.co/Cnam-LMSSC)
- **Model type:** [Wav2Vec2ForCTC](https://huggingface.co/transformers/v4.9.2/model_doc/wav2vec2.html#transformers.Wav2Vec2ForCTC)
- **Language:** French
- **License:** MIT
- **Finetuned from model:** [facebook/wav2vec2-base-fr-voxpopul... | {"language": "fr", "license": "mit", "library_name": "transformers", "tags": ["audio", "automatic-speech-recognition", "speech", "phonemize", "phoneme"], "datasets": ["Cnam-LMSSC/vibravox"], "metrics": ["per"], "model-index": [{"name": "Wav2Vec2-base French finetuned for Speech-to-Phoneme by LMSSC", "results": [{"task"... | Cnam-LMSSC/phonemizer_body_conducted.temple.contact_microphone | null | [
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"license:mit",
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| Model Card
==========
* Developed by: Cnam-LMSSC
* Model type: Wav2Vec2ForCTC
* Language: French
* License: MIT
* Finetuned from model: facebook/wav2vec2-base-fr-voxpopuli-v2
* Finetuned dataset: 'body\_conducted.temple.contact\_microphone' audio of the 'speech\_clean' subset of Cnam-LMSSC/vibravox
* Samplerate for u... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TeeZee/Bielik-SOLAR-LIKE-10.7B-Instruct-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "TeeZee/Bielik-SOLAR-LIKE-10.7B-Instruct-v0.1", "quantized_by": "mradermacher"} | mradermacher/Bielik-SOLAR-LIKE-10.7B-Instruct-v0.1-GGUF | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-11T06:12:18+00:00 | [] | [
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#transformers #gguf #en #base_model-TeeZee/Bielik-SOLAR-LIKE-10.7B-Instruct-v0.1 #license-cc-by-nc-4.0 #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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] |
null | null | 里面有着splat文件 | {} | zhixinxie5548/Splat-data | null | [
"region:us"
] | null | 2024-04-11T06:14:13+00:00 | [] | [] | TAGS
#region-us
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | xrchen11/xlm-roberta-base-finetuned-panx-de-fr | null | [
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"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T06:16:54+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1639
* F1: 0.8591
Model description
-----------------
More information needed
Intended uses... | [
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text-generation | transformers |
# 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": []} | 0x0uncle0/uncle04 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
- Model type:
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text-generation | transformers |
# Model Card for kuntur-peru-legal-es-gemma-2b-it-merged ⚖️
The kuntur-peru-legal-es-gemma-2b-it-merged model is a state-of-the-art language model fine-tuned specifically for legal text comprehension and generation tasks in Spanish, focusing on the legal context of the Peruvian Constitution. Leveraging advanced techn... | {"language": ["es"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Legal", "Law", "Peru", "Leyes Juridicas"], "datasets": ["somosnlp/constitucion-politica-del-peru-1993-qa-gemma-2b-it-format", "daqc/constitucion-politica-del-peru-1993-qa"], "widget": [{"text": "Una mujer es v\u00edctima de violenci... | daqc/kuntur-peru-legal-es-gemma-2b-it-merged | null | [
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========================================================
The kuntur-peru-legal-es-gemma-2b-it-merged model is a state-of-the-art language model fine-tuned specifically for legal text comprehension and generation tasks in Spanish, focusing on the legal context o... | [] | [
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text-generation | transformers |
# Model Card for kuntur-peru-legal-es-gemma-2b-it-merged ⚖️
The kuntur-peru-legal-es-gemma-2b-it-merged model is a state-of-the-art language model fine-tuned specifically for legal text comprehension and generation tasks in Spanish, focusing on the legal context of the Peruvian Constitution. Leveraging advanced techn... | {"language": ["es"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Legal", "Law", "Peru", "Leyes Juridicas"], "datasets": ["somosnlp/constitucion-politica-del-peru-1993-qa-gemma-2b-it-format", "daqc/constitucion-politica-del-peru-1993-qa"], "widget": [{"text": "Una mujer es v\u00edctima de violenci... | somosnlp/kuntur-peru-legal-es-gemma-2b-it-merged | null | [
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The kuntur-peru-legal-es-gemma-2b-it-merged model is a state-of-the-art language model fine-tuned specifically for legal text comprehension and generation tasks in Spanish, focusing on the legal context o... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/mpasila/Alpacazord-Viking-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["mpasila/Alpacazord-V1"], "base_model": "mpasila/Alpacazord-Viking-7B", "quantized_by": "mradermacher"} | mradermacher/Alpacazord-Viking-7B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** pacozaa
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
- **Merged 16 bit from :** https://huggingface.co/pacozaa/mistral-sharegpt90k
# Ollama
- Model Page https://ollama.com/pacozaa/mistralsharegpt90
- `ollama run pacozaa/mistralsharegpt90`
... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "ollama"], "datasets": ["liyucheng/ShareGPT90K"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | pacozaa/mistral-sharegpt90k-merged_16bit | null | [
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# Uploaded model
- Developed by: pacozaa
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
- Merged 16 bit from : URL
# Ollama
- Model Page URL
- 'ollama run pacozaa/mistralsharegpt90'
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL widt... | [
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text-generation | transformers |
# OpenBuddy - Open Multilingual Chatbot
GitHub and Usage Guide: [https://github.com/OpenBuddy/OpenBuddy](https://github.com/OpenBuddy/OpenBuddy)
Website and Demo: [https://openbuddy.ai](https://openbuddy.ai)
Evaluation result of this model: [Evaluation.txt](Evaluation.txt)
![Demo](https://raw.githubusercontent.co... | {"language": ["zh", "en", "fr", "de", "ja", "ko", "it", "ru", "fi"], "license": "other", "library_name": "transformers", "license_name": "tongyi-qianwen-license-agreement", "license_link": "https://huggingface.co/Qwen/Qwen1.5-14B/blob/39b74a78357df4d2296e838d87565967d663a67a/LICENSE", "pipeline_tag": "text-generation",... | OpenBuddy/openbuddy-qwen1.5-32b-v21.2-32k | null | [
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|
# OpenBuddy - Open Multilingual Chatbot
GitHub and Usage Guide: URL
Website and Demo: URL
Evaluation result of this model: URL
!Demo
# Copyright Notice
Base model: URL
License: Qwen: URL
# Prompt Format
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | xrchen11/xlm-roberta-base-finetuned-panx-fr | null | [
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"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T06:30:20+00:00 | [] | [] | TAGS
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| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2750
* F1: 0.8495
Model description
-----------------
More information needed
Intended uses & l... | [
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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": []} | ambiguouStr/bert-base-japanese-v3-marc_ja | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | My model is a state-of-the-art language processing AI designed to understand and generate human-like text. It leverages deep learning algorithms to engage in a wide range of language tasks, providing users with information, recommendations, and even casual conversation. With a broad knowledge base and nuanced understan... | {"license": "cc-by-nc-4.0"} | TwT-6/open_llm_leaderboard_demo2 | null | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-it", "results": []}]} | xrchen11/xlm-roberta-base-finetuned-panx-it | null | [
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| xlm-roberta-base-finetuned-panx-it
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2619
* F1: 0.8321
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-en", "results": []}]} | xrchen11/xlm-roberta-base-finetuned-panx-en | null | [
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| xlm-roberta-base-finetuned-panx-en
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3905
* F1: 0.6861
Model description
-----------------
More information needed
Intended uses & l... | [
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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": []} | maxidl/DOSMo-7B-v0.2 | null | [
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"text-generation-inference",
"region:us"
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#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text2text-generation | transformers |
Testing this model. Let's hope it works on HaluEval
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Testing this model. Let's hope it works on HaluEval
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] |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-all
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-all", "results": []}]} | xrchen11/xlm-roberta-base-finetuned-panx-all | null | [
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"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T06:37:35+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-all
===================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1758
* F1: 0.8558
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | DipakBundheliya/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-11T06:37:42+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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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. -->
# german_sentiment
This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-multilingual-cased", "model-index": [{"name": "german_sentiment", "results": []}]} | swapnasa/german_sentiment | null | [
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"base_model:distilbert/distilbert-base-multilingual-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T06:40:19+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| german\_sentiment
=================
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6632
* Accuracy: 0.8189
Model description
-----------------
More information needed
Intended uses & ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-to-audio | 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. -->
# fil_checkpoint
This model is a fine-tuned version of [mikhail-panzo/malay_full_checkpoint](https://huggingface.co/mikhail-panzo/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "mikhail-panzo/malay_full_checkpoint", "model-index": [{"name": "fil_checkpoint", "results": []}]} | mikhail-panzo/fil_checkpoint | null | [
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"region:us"
] | null | 2024-04-11T06:41:05+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-mikhail-panzo/malay_full_checkpoint #license-mit #endpoints_compatible #region-us
| fil\_checkpoint
===============
This model is a fine-tuned version of mikhail-panzo/malay\_full\_checkpoint on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4735
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** ntvcie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma 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", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | ntvcie/Gemma2bVinhntV1 | null | [
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|
# Uploaded model
- Developed by: ntvcie
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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text-generation | transformers |
<div align="center">
<h1>
360Zhinao (360智脑)
</h1>
</div>
<div align="center">
🤗 <a href="https://huggingface.co/qihoo360">HuggingFace</a>   |   
🤖 <a href="https://www.modelscope.cn/profile/qihoo360">ModelScope</a>   ｜   
💬 <a href="./assets/WeChat.png">WeChat (微信)</a>&... | {"language": ["zh", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["qihoo360", "\u5947\u864e360", "zhinao", "360Zhinao", "pretrain"]} | qihoo360/360Zhinao-7B-Chat-4K | null | [
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"zh",
"en",
"arxiv:2311.09198",
"arxiv:2309.16039",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-11T06:41:50+00:00 | [
"2311.09198",
"2309.16039"
] | [
"zh",
"en"
] | TAGS
#transformers #safetensors #zhinao #text-generation #qihoo360 #奇虎360 #360Zhinao #pretrain #conversational #custom_code #zh #en #arxiv-2311.09198 #arxiv-2309.16039 #license-apache-2.0 #autotrain_compatible #region-us
|
360Zhinao (360智脑)
===================
[WeChat (微信)](./assets/URL)
Feel free to visit 360Zhinao's official website<URL> for more experience.
Introduction
============
We released the 360Zhinao model series:
* 360Zhinao-7B-Base
* 360Zhinao-7B-Chat-4K
* 360Zhinao-7B-Chat-32K
* 360Zhinao-7B-Chat-... | [
"### Long Context Benchmarks\n\n\nWe evaluated our 32K and 360K models on LongBench, a multi-task bilingual benchmark for long contexts. We report results on Chinese tasks most relevant to downstream applications: Single/Multi-Doc QA, Summarization, Few-Shot Learning and Code Completion.\n* ### 360Zhinao-7B-Chat-36... | [
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text-generation | transformers |
<div align="center">
<h1>
360Zhinao (360智脑)
</h1>
</div>
<div align="center">
🤗 <a href="https://huggingface.co/qihoo360">HuggingFace</a>   |   
🤖 <a href="https://www.modelscope.cn/profile/qihoo360">ModelScope</a>   ｜   
💬 <a href="./assets/WeChat.png">WeChat (微信)</a>&... | {"language": ["zh", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["qihoo360", "\u5947\u864e360", "zhinao", "360Zhinao", "pretrain"]} | qihoo360/360Zhinao-7B-Chat-4K-Int4 | null | [
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"2311.09198",
"2309.16039"
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"zh",
"en"
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|
360Zhinao (360智脑)
===================
[WeChat (微信)](./assets/URL)
Feel free to visit 360Zhinao's official website<URL> for more experience.
Introduction
============
We released the 360Zhinao model series:
* 360Zhinao-7B-Base
* 360Zhinao-7B-Chat-4K
* 360Zhinao-7B-Chat-32K
* 360Zhinao-7B-Chat-... | [
"### Long Context Benchmarks\n\n\nWe evaluated our 32K and 360K models on LongBench, a multi-task bilingual benchmark for long contexts. We report results on Chinese tasks most relevant to downstream applications: Single/Multi-Doc QA, Summarization, Few-Shot Learning and Code Completion.\n* ### 360Zhinao-7B-Chat-36... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [tomaszki/stablelm-22](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["tomaszki/stablelm-22", "coffie3/sx8"]} | Sumail/Barista53 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* tomaszki/stablelm-22
* coffie3/sx8
### Configuration
The following YAML configu... | [
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"### Configurati... | [
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text-to-speech | transformers |
# Parler-TTS Mini v0.1
<a target="_blank" href="https://huggingface.co/spaces/parler-tts/parler_tts_mini">
<img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg" alt="Open in HuggingFace"/>
</a>
**Parler-TTS Mini v0.1** is a lightweight text-to-speech (TTS) model, trained o... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-to-speech", "annotation"], "pipeline_tag": "text-to-speech", "inference": false} | pharaouk/parler_tts_mini_v0.1 | null | [
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"annotation",
"en",
"arxiv:2402.01912",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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"2402.01912"
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"en"
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#transformers #safetensors #parler_tts #text2text-generation #text-to-speech #annotation #en #arxiv-2402.01912 #license-apache-2.0 #autotrain_compatible #region-us
|
# Parler-TTS Mini v0.1
<a target="_blank" href="URL
<img src="URL alt="Open in HuggingFace"/>
</a>
Parler-TTS Mini v0.1 is a lightweight text-to-speech (TTS) model, trained on 10.5K hours of audio data, that can generate high-quality, natural sounding speech with features that can be controlled using a simple text... | [
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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": []} | shtapm/whisper-large_0411_en_0_de_31_200steps | 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 |
# Descript Audio Codec (.dac): High-Fidelity Audio Compression with Improved RVQGAN
This repository is a wrapper around the original **Descript Audio Codec** model, a high fidelity general neural audio codec, introduced in the paper titled **High-Fidelity Audio Compression with Improved RVQGAN**.
It is designed to b... | {"license": "mit", "library_name": "transformers", "tags": ["DAC", "audio"]} | pharaouk/dac_44khZ_8kbps | null | [
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|
# Descript Audio Codec (.dac): High-Fidelity Audio Compression with Improved RVQGAN
This repository is a wrapper around the original Descript Audio Codec model, a high fidelity general neural audio codec, introduced in the paper titled High-Fidelity Audio Compression with Improved RVQGAN.
It is designed to be used a... | [
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text-generation | transformers | # Finetuned model of gemma 2B for crewai library
<p align="center" width="100%">
<a><img src="crewai_logo.png" alt="crewai" style="width: 40%; min-width: 300px; display: block; margin: auto;"></a>
</p>
## Crewai Finetuned Model
This is a LoRA finetuned model of gemma-2B for crewai library that produces the Goal and... | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["DrDrek/crewai_finetuning_dataset"]} | DrDrek/crewai-finetuned-model | null | [
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| # Finetuned model of gemma 2B for crewai library
<p align="center" width="100%">
<a><img src="crewai_logo.png" alt="crewai" style="width: 40%; min-width: 300px; display: block; margin: auto;"></a>
</p>
## Crewai Finetuned Model
This is a LoRA finetuned model of gemma-2B for crewai library that produces the Goal and... | [
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text-generation | transformers |
<h1 align="center">
Rho-1: Not All Tokens Are What You Need
</h1>
<p align="center">
<a href="https://arxiv.org/abs/2404.07965"><b>[📜 Arxiv]</b></a> •
<a href="https://huggingface.co/papers/2404.07965"><b>[💬 HF Paper]</b></a> •
<a href="https://huggingface.co/microsoft/rho-math-1b-v0.1"><b>[🤗 Models]</b></... | {"language": ["en"], "license": "mit", "tags": ["nlp", "math"], "pipeline_tag": "text-generation"} | microsoft/rho-math-1b-v0.1 | null | [
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"region:us"
] | null | 2024-04-11T06:47:40+00:00 | [
"2404.07965"
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|
Rho-1: Not All Tokens Are What You Need
========================================
•
*Figure 1: Rho-1 is pre-trained with Selective Language Modeling (SLM). SLM improves average few-shot accuracy on GSM8k and MATH by over 16%, achieving the baseline performance 5-10x faster.*
News
----
... | [
"### Selective Lanugage Modeling (SLM)\n\n\n\n\n \n\n*Figure 2:\n **Upper:** Even an extensively filtered pretraining corpus contains token-level noise.\n **Left:** Previous Causal Language Modeling (CLM) trains on all tokens.\n **Right:** Our proposed Selective Language Modeling (SLM) selectively a... | [
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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. -->
# distilgpt2-finetuned-databricks
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkn... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-databricks", "results": []}]} | Vishaltiwari2019/distilgpt2-finetuned-databricks | null | [
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"endpoints_compatible",
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"region:us"
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| distilgpt2-finetuned-databricks
===============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2376
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: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 0.6",
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | QiHehehehe/xlm-roberta-base-finetuned-panx-de | null | [
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| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1363
* F1: 0.8658
Model description
-----------------
More information needed
Intended uses & l... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/wenbopan/Faro-Yi-34B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Faro-Yi-34B-i1-GGUF
... | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"], "base_model": "wenbopan/Faro-Yi-34B", "quantized_by": "mradermacher"} | mradermacher/Faro-Yi-34B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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": "unsloth/gemma-7b-bnb-4bit"} | heedongKilOk/Gemma7b-SFT | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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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": []} | openpecha/wav2vec2_run10 | null | [
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# Model Card for Model ID
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text-generation | transformers | # experiment_34
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Aaryan-Nakhat/experiment-31-prompt-... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Aaryan-Nakhat/experiment-31-prompt-5-guardrails-finetuning-itr-4-sub-prompt-1", "Aaryan-Nakhat/experiment-32-prompt-5-guardrails-finetuning-itr-4-sub-prompt-2"]} | Aaryan-Nakhat/experiment-34-prompt-5-guardrails-finetuning-itr-4-merged-exp-31-32 | null | [
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"autotrain_com... | null | 2024-04-11T06:59:15+00:00 | [] | [] | TAGS
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
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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. -->
# Kiran2004/Roberta_qca_sample
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/robert... | {"license": "cc-by-4.0", "tags": ["generated_from_keras_callback"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "Kiran2004/Roberta_qca_sample", "results": []}]} | Kiran2004/Roberta_QCA_Custom | null | [
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| Kiran2004/Roberta\_qca\_sample
==============================
This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0050
* Validation Loss: 0.0012
* Epoch: 4
Model description
-----------------
More infor... | [
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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. -->
# 0.0_dataup_noreplacerej_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_dataup_noreplacerej_iter_2](https://huggin... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_dataup_noreplacerej_dataset"], "base_model": "ZhangShenao/0.0_dataup_noreplacerej_iter_2", "model-index": [{"name": "0.0_dataup_noreplacerej_iter_3", "results": []}]} | ZhangShenao/0.0_dataup_noreplacerej_iter_3 | null | [
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... | null | 2024-04-11T07:00:25+00:00 | [] | [] | TAGS
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# 0.0_dataup_noreplacerej_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_dataup_noreplacerej_iter_2 on the ZhangShenao/0.0_dataup_noreplacerej_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More... | [
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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. -->
# emotional-gpt2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the fo... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "gpt2", "model-index": [{"name": "emotional-gpt2", "results": []}]} | sherelyn912/emotional-gpt2 | null | [
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| emotional-gpt2
==============
This model is a fine-tuned version of gpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.4988
* Accuracy: 0.3076
* F1: 0.2883
* Precision: 0.3009
* Recall: 0.3076
Model description
-----------------
More information needed
Intended uses &... | [
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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": []} | pesc101/Mistral-7B-Instruct-v0.2-lbl-2x-low-all | null | [
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text-generation | null |
## Model Summary
bloomz-3b-mmlu-lora is a LORA model which fine-tuned on mmlu dataset. The base model is `bigscience/bloomz-3b` .
## How to Use
```python
import torch
from transformers import AutoTokenizer
from peft import AutoPeftModelForCausalLM
torch.set_default_device("cuda")
model = AutoPeftModelForCausal... | {"language": ["en"], "license": "bigscience-bloom-rail-1.0", "tags": ["nlp", "code"], "pipeline_tag": "text-generation"} | liuchanghf/bloomz-3b-mmlu-lora | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | mapleadmin/Enlighten_Instruct | null | [
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text-generation | transformers |
# Misal-1B-instruct-v0.1
Built by - [smallstep.ai](https://smallstep.ai/)
## What is Misal?
Misal 1B, a pretrained and instruction tuned large language model based on TinyLlama 1B architecture for Marathi.
## Making of Misal?
Detailed blog [here](https://smallstep.ai/making-misal).
## Evaluation :
We did a manua... | {"language": ["mr"], "license": "apache-2.0", "library_name": "transformers", "tags": ["marathi", "sentiment analysis", "reading comprehension", "paraphrasing", "translation"], "datasets": ["ai4bharat/IndicQuestionGeneration", "ai4bharat/IndicSentiment", "ai4bharat/IndicParaphrase", "smallstepai/marathi-instruction-tun... | smallstepai/Misal-1B-instruct-v0.1 | null | [
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======================
Built by - URL
What is Misal?
--------------
Misal 1B, a pretrained and instruction tuned large language model based on TinyLlama 1B architecture for Marathi.
Making of Misal?
----------------
Detailed blog here.
Evaluation :
------------
We did a manual round... | [
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text-generation | transformers |
# TinyLlama-1.1B-Instruct-3T_slerp
JPMixModel-test24 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [gardner/TinyLlama-1.1B-Instruct-3T](https://huggingface.co/gardner/TinyLlama-1.1B-Instruct-3T)
* [gardner/TinyLlama-1.... | {"tags": ["merge", "mergekit", "lazymergekit", "gardner/TinyLlama-1.1B-Instruct-3T"], "base_model": ["gardner/TinyLlama-1.1B-Instruct-3T", "gardner/TinyLlama-1.1B-Instruct-3T"]} | aipib/TinyLlama-1.1B-Instruct-3T_slerp | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T07:04:22+00:00 | [] | [] | TAGS
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|
# TinyLlama-1.1B-Instruct-3T_slerp
JPMixModel-test24 is a merge of the following models using LazyMergekit:
* gardner/TinyLlama-1.1B-Instruct-3T
* gardner/TinyLlama-1.1B-Instruct-3T
## Configuration
## Usage
| [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# models
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "models", "results": []}]} | holmes26/models | null | [
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"wav2vec2",
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"generated_from_trainer",
"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T07:07:54+00:00 | [] | [] | TAGS
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| models
======
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0169
* Wer: 0.2673
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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null | transformers |
# 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": []} | ZhankuiHe/unicrs-rec | null | [
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#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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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": []} | Auruncus/trimmed-mbart-cc25-v2 | 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... | [
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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": []} | ZhankuiHe/unicrs-gen | null | [
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#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:
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text-generation | transformers | <h3><a href="https://github.com/LingyvKong/OneChart">OneChart: Purify the Chart Structural Extraction via One Auxiliary Token</a></h3>
Jinyue Chen*, Lingyu Kong*, [Haoran Wei](https://scholar.google.com/citations?user=J4naK0MAAAAJ&hl=en), Chenglong Liu, [Zheng Ge](https://joker316701882.github.io/), Liang Zhao, [Jianj... | {"license": "apache-2.0"} | kppkkp/OneChart | null | [
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"arxiv:2404.09987",
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"2404.09987"
] | [] | TAGS
#transformers #pytorch #mmgpt #text-generation #arxiv-2404.09987 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| <h3><a href="URL Purify the Chart Structural Extraction via One Auxiliary Token</a></h3>
Jinyue Chen*, Lingyu Kong*, Haoran Wei, Chenglong Liu, Zheng Ge, Liang Zhao, Jianjian Sun, Chunrui Han, Xiangyu Zhang
Github
arxiv | [] | [
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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": []} | roysushmita/finetuned-gemma-guide-to-entrepreneurship | null | [
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"1910.09700"
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#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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-finetuned-subjqa-movies_2
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/dee... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "roberta-finetuned-subjqa-movies_2", "results": []}]} | abhijitstat/roberta-finetuned-subjqa-movies_2 | null | [
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"base_model:deepset/roberta-base-squad2",
"license:cc-by-4.0",
"endpoints_compatible",
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|
# roberta-finetuned-subjqa-movies_2
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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"## Intended uses & limitations\n\nMore information needed",
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null | null |
# DavidAU/Nous-Hermes-2-SOLAR-10.7B-x2-MoE-Q6_K-GGUF
This model was converted to GGUF format from [`dillfrescott/Nous-Hermes-2-SOLAR-10.7B-x2-MoE`](https://huggingface.co/dillfrescott/Nous-Hermes-2-SOLAR-10.7B-x2-MoE) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo)... | {"license": "wtfpl", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Nous-Hermes-2-SOLAR-10.7B-x2-MoE-Q6_K-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #license-wtfpl #region-us
|
# DavidAU/Nous-Hermes-2-SOLAR-10.7B-x2-MoE-Q6_K-GGUF
This model was converted to GGUF format from 'dillfrescott/Nous-Hermes-2-SOLAR-10.7B-x2-MoE' 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 serve... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [coffie3/sx8](https://huggingface.co/coffie3... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffie3/sx8", "coffie3/sx7"]} | Sumail/Barista54 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* coffie3/sx8
* coffie3/sx7
### Configuration
The following YAML configuration wa... | [
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token-classification | transformers |
# ONNX version of lakshyakh93/deberta_finetuned_pii
**This model is a conversion of [lakshyakh93/deberta_finetuned_pii](https://huggingface.co/lakshyakh93/deberta_finetuned_pii) to ONNX** format using the [🤗 Optimum](https://huggingface.co/docs/optimum/index) library. | {"language": ["en"], "license": "apache-2.0", "inference": false, "pipeline_tag": "token-classification", "base_model": "lakshyakh93/deberta_finetuned_pii"} | protectai/lakshyakh93-deberta_finetuned_pii-onnx | null | [
"transformers",
"onnx",
"deberta",
"token-classification",
"en",
"base_model:lakshyakh93/deberta_finetuned_pii",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-11T07:16:13+00:00 | [] | [
"en"
] | TAGS
#transformers #onnx #deberta #token-classification #en #base_model-lakshyakh93/deberta_finetuned_pii #license-apache-2.0 #autotrain_compatible #region-us
|
# ONNX version of lakshyakh93/deberta_finetuned_pii
This model is a conversion of lakshyakh93/deberta_finetuned_pii to ONNX format using the Optimum library. | [
"# ONNX version of lakshyakh93/deberta_finetuned_pii\n\nThis model is a conversion of lakshyakh93/deberta_finetuned_pii to ONNX format using the Optimum library."
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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
model = load_from_hub(repo_id="issaree/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.make... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.44 +/- ... | issaree/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-11T07:18:22+00:00 | [] | [] | TAGS
#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
model = load_from_hub(repo_id="issaree/Taxi-v3", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = URL(model["env_id"])
| [
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage\n\n model = load_from_hub(repo_id=\"issaree/Taxi-v3\", filename=\"URL\")\n\n # Don't forget to check if you need to add additional attributes (is_slippery=False etc)\n env = URL(model[\"env_id\"]... | [
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null | mlx |
# GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2) for more details on the model.
## Use with mlx
```bash
pip... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2-mlx | null | [
"mlx",
"safetensors",
"qwen2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T07:19:38+00:00 | [] | [] | TAGS
#mlx #safetensors #qwen2 #license-apache-2.0 #region-us
|
# GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2']().\nRefer to the original model card for more details on the model.",
"## Use with mlx"
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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": []} | Auruncus/lsg-mbart-lsh-ru-128-4-4096-base | null | [
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"1910.09700"
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#transformers #safetensors #mbart #text2text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | UniDepth |
This model has been pushed to the Hub using **UniDepth**:
- Repo: https://github.com/lpiccinelli-eth/UniDepth
- Docs: [More Information Needed] | {"library_name": "UniDepth", "tags": ["monocular-metric-depth-estimation", "pytorch_model_hub_mixin", "model_hub_mixin"], "repo_url": "https://github.com/lpiccinelli-eth/UniDepth"} | lpiccinelli/unidepth-v1-cnvnxtl | null | [
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#UniDepth #pytorch #safetensors #monocular-metric-depth-estimation #pytorch_model_hub_mixin #model_hub_mixin #region-us
|
This model has been pushed to the Hub using UniDepth:
- Repo: URL
- Docs: | [] | [
"TAGS\n#UniDepth #pytorch #safetensors #monocular-metric-depth-estimation #pytorch_model_hub_mixin #model_hub_mixin #region-us \n"
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ABHISHEKMONU2001/llama_finetunning_9_April | null | [
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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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- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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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-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | YounghoonNoh/distilbert-base-uncased-finetuned-emotion | null | [
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"distilbert",
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"model-index",
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"region:us"
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#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2183
* Accuracy: 0.928
* F1: 0.9280
Model description
-----------------
Mor... | [
"### 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* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/dctDreamComeTrueSDXL_dctDreamComeTrueSD15 | null | [
"diffusers",
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"arxiv:1910.09700",
"endpoints_compatible",
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#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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null | null |
# Implementar LLM y SQL para interactuar con una base de datos en español en un enfoque multimodal
El desafío de generar SQL preciso para las consultas de los usuarios ha persistido durante mucho tiempo, ya que exige una comprensión profunda tanto de la consulta como de la base de datos.
Existen soluciones se basan ... | {"language": ["es"], "license": "apache-2.0"} | somosnlp/LLM_SQL_BaseDatosEspanol_CodeLlama | null | [
"es",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T07:27:08+00:00 | [] | [
"es"
] | TAGS
#es #license-apache-2.0 #region-us
|
# Implementar LLM y SQL para interactuar con una base de datos en español en un enfoque multimodal
El desafío de generar SQL preciso para las consultas de los usuarios ha persistido durante mucho tiempo, ya que exige una comprensión profunda tanto de la consulta como de la base de datos.
Existen soluciones se basan ... | [
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text-generation | transformers | 
Custom Model "Dolphin2Star1" Merged by Noodlz.
12.5B linear merged from the uncensored mistral 7B v0.2 as the base, with the fine tunes of StarlingLM 7B Beta that's originally mistral 7B v0.1
have fu... | {"license": "apache-2.0"} | Noodlz/DolphinStar-12.5B | null | [
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#transformers #safetensors #mistral #text-generation #conversational #arxiv-2203.05482 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| !image/png
Custom Model "Dolphin2Star1" Merged by Noodlz.
12.5B linear merged from the uncensored mistral 7B v0.2 as the base, with the fine tunes of StarlingLM 7B Beta that's originally mistral 7B v0.1
have fun =)
[EDIT] - preset wise it seems like it likes the "ChatML" format.
[EDIT 2] - Usage Notes - model is s... | [
"## Instructions Template:",
"## Chat Template:\n\n\n\n\n\n---\nlicense: apache-2.0\n---\n\n\n---\nbase_model:\n- cognitivecomputations/dolphin-2.8-mistral-7b-v02\n- NexusFlow/Starling-LM-7B-beta\nlibrary_name: transformers\ntags:\n- mergekit\n- merge\n\n---",
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text-generation | transformers |
# test_merge
test_merge is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://hug... | {"tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"], "base_model": ["OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | nagayama0706/test_merge | null | [
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"base_model:mlabonne/NeuralHermes-2.5-Mistral-7B",
"autotrain_compati... | null | 2024-04-11T07:29:30+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #OpenPipe/mistral-ft-optimized-1218 #mlabonne/NeuralHermes-2.5-Mistral-7B #base_model-OpenPipe/mistral-ft-optimized-1218 #base_model-mlabonne/NeuralHermes-2.5-Mistral-7B #autotrain_compatible #endpoints_compatible #text-generation-... |
# test_merge
test_merge is a merge of the following models using LazyMergekit:
* OpenPipe/mistral-ft-optimized-1218
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
## Usage
| [
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"## Usage"
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null | null | This notebook guides through fine-tuning a pre-trained language model from the Hugging Face model hub on the "Alpaca" dataset using the Transformer library. Originally trained on "Llama" data, the goal is to make the model generate suitable responses for the Alpaca dataset.
1. Installed necessary packages (`transforme... | {} | ojas-kool/llama-2-7b-chat-alpaca | null | [
"safetensors",
"region:us"
] | null | 2024-04-11T07:29:55+00:00 | [] | [] | TAGS
#safetensors #region-us
| This notebook guides through fine-tuning a pre-trained language model from the Hugging Face model hub on the "Alpaca" dataset using the Transformer library. Originally trained on "Llama" data, the goal is to make the model generate suitable responses for the Alpaca dataset.
1. Installed necessary packages ('transforme... | [] | [
"TAGS\n#safetensors #region-us \n"
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9
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"TAGS\n#safetensors #region-us \n"
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {} | LeonStarDirect/TB4_Short_Cable | null | [
"arxiv:1910.09700",
"region:us"
] | null | 2024-04-11T07:32:22+00:00 | [
"1910.09700"
] | [] | TAGS
#arxiv-1910.09700 #region-us
|
# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | RagnellRks/finetuning-sentiment-model-3000-samples | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T07:32:50+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6936
- eval_accuracy: 0.5
- eval_f1: 0.6667
- eval_runtime: 174.9171
- eval_samples_per_second: 1.715
- eval_steps_pe... | [
"# finetuning-sentiment-model-3000-samples\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 0.6936\n- eval_accuracy: 0.5\n- eval_f1: 0.6667\n- eval_runtime: 174.9171\n- eval_samples_per_second: 1.715\n- ev... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - multimodalart/B-LoRA_style2
<Gallery />
## Model description
These are multimodalart/B-LoRA_st... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A [v14]", "widget": []} | multimodalart/B-LoRA_style2 | null | [
"diffusers",
"tensorboard",
"text-to-image",
"diffusers-training",
"lora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-11T07:32:53+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - multimodalart/B-LoRA_style2
<Gallery />
## Model description
These are multimodalart/B-LoRA_style2 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for trainin... | [
"# SDXL LoRA DreamBooth - multimodalart/B-LoRA_style2\n\n<Gallery />",
"## Model description\n\nThese are multimodalart/B-LoRA_style2 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the text encoder was enabled: False.\n\nSpecial VAE u... | [
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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
model = load_from_hub(repo_id="patricktiu1205/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attribute... | {"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": ... | patricktiu1205/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-11T07:34:24+00:00 | [] | [] | TAGS
#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
model = load_from_hub(repo_id="patricktiu1205/q-FrozenLake-v1-4x4-noSlippery", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [GamblerOnTrain/danke02a](https://huggingfac... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["GamblerOnTrain/danke02a", "tomaszki/stablelm-22"]} | Sumail/Barista55 | null | [
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"base_model:tomaszki/stablelm-22",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-GamblerOnTrain/danke02a #base_model-tomaszki/stablelm-22 #autotrain_compatible #endpoints_compatible #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* GamblerOnTrain/danke02a
* tomaszki/stablelm-22
### Configuration
The following ... | [
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null | null |
# DavidAU/Frankenstein-MoE-en-10.7Bx4-Q5_K_S-GGUF
This model was converted to GGUF format from [`MoEMoEKKung/Frankenstein-MoE-en-10.7Bx4`](https://huggingface.co/MoEMoEKKung/Frankenstein-MoE-en-10.7Bx4) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer t... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Frankenstein-MoE-en-10.7Bx4-Q5_K_S-GGUF | null | [
"gguf",
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"region:us"
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"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us
|
# DavidAU/Frankenstein-MoE-en-10.7Bx4-Q5_K_S-GGUF
This model was converted to GGUF format from 'MoEMoEKKung/Frankenstein-MoE-en-10.7Bx4' 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 ... | [
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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": []} | saransh03sharma/mintrec-llama-2-7b-150-1-shot | null | [
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"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/dctDreamComeTrueSDXL_dctDreamComeTrueXL | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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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-emotion_10
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion_10", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "da... | Benphil/distilbert-base-uncased-finetuned-emotion_10 | null | [
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| distilbert-base-uncased-finetuned-emotion\_10
=============================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1593
* Accuracy: 0.934
* F1: 0.9340
Model description
---------------... | [
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text-to-image | diffusers |
# BRIA 2.3 ControlNet Depth Model Card
BRIA 2.3 ControlNet-Depth, trained on the foundation of [BRIA 2.3 Text-to-Image](https://huggingface.co/briaai/BRIA-2.3), enables the generation of high-quality images guided by a textual prompt and the extracted monocular depth estimation from an input image. This allows for t... | {"license": "other", "tags": ["text-to-image", "controlnet model", "legal liability", "commercial use"], "license_name": "bria-2.3", "license_link": "https://bria.ai/bria-huggingface-model-license-agreement/", "inference": false, "extra_gated_prompt": "This model weights by BRIA AI can be obtained after a commercial li... | briaai/BRIA-2.3-ControlNet-Depth | null | [
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#diffusers #text-to-image #controlnet model #legal liability #commercial use #license-other #region-us
|
# BRIA 2.3 ControlNet Depth Model Card
BRIA 2.3 ControlNet-Depth, trained on the foundation of BRIA 2.3 Text-to-Image, enables the generation of high-quality images guided by a textual prompt and the extracted monocular depth estimation from an input image. This allows for the creation of different variations of an ... | [
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text-to-image | diffusers |
# BRIA 2.3 ControlNet Recoloring Model Card
BRIA 2.3 ControlNet-Recoloring, trained on the foundation of [BRIA 2.3 Text-to-Image](https://huggingface.co/briaai/BRIA-2.3), enables the generation of high-quality images guided by a textual prompt and the grayscale image of the input image. This allows for the creation ... | {"license": "other", "tags": ["text-to-image", "controlnet model", "legal liability", "commercial use"], "license_name": "bria-2.3", "license_link": "https://bria.ai/bria-huggingface-model-license-agreement/", "inference": false, "extra_gated_prompt": "This model weights by BRIA AI can be obtained after a commercial li... | briaai/BRIA-2.3-ControlNet-Recoloring | null | [
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|
# BRIA 2.3 ControlNet Recoloring Model Card
BRIA 2.3 ControlNet-Recoloring, trained on the foundation of BRIA 2.3 Text-to-Image, enables the generation of high-quality images guided by a textual prompt and the grayscale image of the input image. This allows for the creation of different variations of an image, all s... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [tomaszki/stablelm-23](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["tomaszki/stablelm-23", "tomaszki/stablelm-22"]} | Sumail/Barista56 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* tomaszki/stablelm-23
* tomaszki/stablelm-22
### Configuration
The following YAM... | [
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text-generation | transformers |
# MultiMerge-7B-slerp
MultiMerge-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/MultiverseEx26-7B-slerp)
* [allknowingroger/limyC... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "allknowingroger/MultiverseEx26-7B-slerp", "allknowingroger/limyClown-7B-slerp"], "base_model": ["allknowingroger/MultiverseEx26-7B-slerp", "allknowingroger/limyClown-7B-slerp"]} | allknowingroger/MultiMerge-7B-slerp | null | [
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# MultiMerge-7B-slerp
MultiMerge-7B-slerp is a merge of the following models using LazyMergekit:
* allknowingroger/MultiverseEx26-7B-slerp
* allknowingroger/limyClown-7B-slerp
## Configuration
## Usage
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text-to-image | diffusers |
# SDXL Emoji LoRA
<Gallery />
([CivitAI](https://civitai.com/models/144245))
## Model description
<p>A small (<30 MB) rank 4 LoRA for SDXL which can help you style your images as Emojis.</p><p>It can make "Regular 3D emojis" or "Flat emojis"</p><h3 id="heading-7"><span style="color:rgb(250, 82, 82)">Please s... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "emoji", "style", "sdxl style lora"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivati... | Norod78/sdxl-emoji-lora | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:other",
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #migrated #emoji #style #sdxl style lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-other #region-us
|
# SDXL Emoji LoRA
<Gallery />
(CivitAI)
## Model description
<p>A small (<30 MB) rank 4 LoRA for SDXL which can help you style your images as Emojis.</p><p>It can make "Regular 3D emojis" or "Flat emojis"</p><h3 id="heading-7"><span style="color:rgb(250, 82, 82)">Please see the LoRA weight scale <-> Tr... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod13
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod13", "results": [{"task": {"type": "automatic-speech-recognition", "name"... | EzraWilliam/wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod13 | null | [
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| wav2vec2-xlsr-53-CV-demo-google-colab-Ezra\_William\_Prod13
===========================================================
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common\_voice\_13\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4253
* Wer: 0.4345
M... | [
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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... | MrPrjnce/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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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": []} | ssh1419/indi-deplot-1-final-row | null | [
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"text2text-generation",
"arxiv:1910.09700",
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] | null | 2024-04-11T07:48:22+00:00 | [
"1910.09700"
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#transformers #safetensors #pix2struct #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Model type:
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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. -->
# ViNormT5_peft
This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None data... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-base", "model-index": [{"name": "ViNormT5_peft", "results": []}]} | funaLee/ViNormT5_peft | null | [
"peft",
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"safetensors",
"generated_from_trainer",
"base_model:VietAI/vit5-base",
"license:mit",
"region:us"
] | null | 2024-04-11T07:52:38+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-VietAI/vit5-base #license-mit #region-us
|
# ViNormT5_peft
This model is a fine-tuned version of VietAI/vit5-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The foll... | [
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text-generation | transformers |
# M7Multiverseex26-7B
M7Multiverseex26-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/MultiverseEx26-7B-slerp)
## 🧩 Configuration
```yaml
models:
- model: lim... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["allknowingroger/MultiverseEx26-7B-slerp"]} | automerger/M7Multiverseex26-7B | null | [
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"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"automerger",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# M7Multiverseex26-7B
M7Multiverseex26-7B is an automated merge created by Maxime Labonne using the following configuration.
* allknowingroger/MultiverseEx26-7B-slerp
## Configuration
## 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. -->
# emotional-bert
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "emotional-bert", "results": []}]} | sherelyn912/emotional-bert | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-11T07:53:19+00:00 | [] | [] | TAGS
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| emotional-bert
==============
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5503
* Accuracy: 0.4065
* F1: 0.3831
* Precision: 0.3926
* Recall: 0.4065
Model description
-----------------
More information... | [
"### 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",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-imdb-410m-mz-ada-v3-bs-8
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-imdb-410m-mz-ada-v3-bs-8", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-410m-mz-ada-v3-bs-8 | null | [
"transformers",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-410m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T07:53:32+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-imdb-410m-mz-ada-v3-bs-8
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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text-generation | transformers |
# ValidateAI-2-33B-AT
ValidateAI-2-33B-AT is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [deepseek-ai/deepseek-coder-33b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct)
* [WizardLM/WizardCoder... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "WizardLM/WizardCoder-33B-V1.1", "codefuse-ai/CodeFuse-DeepSeek-33B", "deepseek-ai/deepseek-coder-33b-instruct"], "base_model": ["deepseek-ai/deepseek-coder-33b-instruct"]} | arvindanand/ValidateAI-2-33B-AT | null | [
"transformers",
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"llama",
"text-generation",
"merge",
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"lazymergekit",
"WizardLM/WizardCoder-33B-V1.1",
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"deepseek-ai/deepseek-coder-33b-instruct",
"base_model:deepseek-ai/deepseek-coder-33b-instruct",
"license:apache-2.0",
"autotr... | null | 2024-04-11T07:55:04+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #mergekit #lazymergekit #WizardLM/WizardCoder-33B-V1.1 #codefuse-ai/CodeFuse-DeepSeek-33B #deepseek-ai/deepseek-coder-33b-instruct #base_model-deepseek-ai/deepseek-coder-33b-instruct #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-gene... |
# ValidateAI-2-33B-AT
ValidateAI-2-33B-AT is a merge of the following models using LazyMergekit:
* deepseek-ai/deepseek-coder-33b-instruct
* WizardLM/WizardCoder-33B-V1.1
* codefuse-ai/CodeFuse-DeepSeek-33B
*
## Configuration
## Usage
| [
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text2text-generation | transformers |
GPT2-medium finetuned on the task of descrambling sentences, for example:
input:
```
The equations expensive. show is optimization computationally that
```
output:
```
The equations show that optimization is computationally expensive.
``` | {"language": ["en"], "license": "apache-2.0", "datasets": ["damilojohn/Text-Descrambling"], "pipeline_tag": "text2text-generation"} | damilojohn/text-descrambling-gpt2 | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"text2text-generation",
"en",
"dataset:damilojohn/Text-Descrambling",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T07:55:48+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #gpt2 #text-generation #text2text-generation #en #dataset-damilojohn/Text-Descrambling #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
GPT2-medium finetuned on the task of descrambling sentences, for example:
input:
output:
| [] | [
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null | UniDepth |
This model has been pushed to the Hub using **UniDepth**:
- Repo: https://github.com/lpiccinelli-eth/UniDepth
- Docs: [More Information Needed] | {"library_name": "UniDepth", "tags": ["monocular-metric-depth-estimation", "pytorch_model_hub_mixin", "model_hub_mixin"], "repo_url": "https://github.com/lpiccinelli-eth/UniDepth"} | lpiccinelli/unidepth-v1-vitl14 | null | [
"UniDepth",
"pytorch",
"safetensors",
"monocular-metric-depth-estimation",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"region:us"
] | null | 2024-04-11T07:56:02+00:00 | [] | [] | TAGS
#UniDepth #pytorch #safetensors #monocular-metric-depth-estimation #pytorch_model_hub_mixin #model_hub_mixin #region-us
|
This model has been pushed to the Hub using UniDepth:
- Repo: URL
- Docs: | [] | [
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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": []} | shtapm/whisper-large_0411_all_100steps | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T07:56:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #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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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
!pip install -U "huggingface_hub[cli]"
!huggingface-cli login --token "************" --add-to-git-credential
```
```python
from transformers... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | Ebrahimaabdelghfar/Ubuntu_assistant_Gemma2B | null | [
"transformers",
"safetensors",
"autotrain",
"text-generation-inference",
"text-generation",
"peft",
"conversational",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T07:56:46+00:00 | [] | [] | TAGS
#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #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-to-image | diffusers |
# Modern Disney XL API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "modern-disney-xl"
... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/modern-disney-xl | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-11T07:57:08+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Modern Disney XL API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "modern-disney-xl"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model li... | [
"# Modern Disney XL API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"modern-disney-xl\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Gene... | [
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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": []} | 0x0uncle0/uncle05 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T07:58:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | ganeshkamath89/code-search-net-tokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T07:58:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- ... | [
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"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optiona... |
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