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text-generation | transformers |
Introducing the [BeaverAI](https://huggingface.co/BeaverAI) team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, and concedo
We proudly present...
# Llama 3SOME🦙8B🦙v1🦙BETA
*We've ad... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences"]} | TheDrummer/Llama-3SOME-8B-v1-BETA | null | [
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"conversational",
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"region:us"
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#transformers #pytorch #llama #text-generation #not-for-all-audiences #conversational #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Introducing the BeaverAI team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, and concedo
!image/png
We proudly present...
# Llama 3SOME8Bv1BETA
*We've added some things. That's obviously what we're trying to say.*
!image/gif
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | allopeap/one-piece | null | [
"fastai",
"region:us",
"has_space"
] | null | 2024-04-27T15:46:43+00:00 | [] | [] | TAGS
#fastai #region-us #has_space
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
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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": []} | JacobAndersson/slimed-mixtral-1 | null | [
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#transformers #safetensors #mixtral #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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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": []} | MohammadKarami/hard-electra | 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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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="SKHIA2024/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | SKHIA2024/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
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"reinforcement-learning",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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null | transformers |
# MoMonir/Llama-3-8B-Web-GGUF
This model was converted to GGUF format from [`McGill-NLP/Llama-3-8B-Web`](https://huggingface.co/McGill-NLP/Llama-3-8B-Web) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["agents", "agent", "llm", "llama", "llama-cpp", "gguf-my-repo"], "datasets": ["McGill-NLP/WebLINX"]} | MoMonir/Llama-3-8B-Web-GGUF | null | [
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|
# MoMonir/Llama-3-8B-Web-GGUF
This model was converted to GGUF format from 'McGill-NLP/Llama-3-8B-Web' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
### About GGUF (TheBloke Description)
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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... | moczard/Reinforce-Pixelcopter-PLE-v0 | null | [
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|
# 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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text-generation | transformers | Made with https://github.com/neuralmagic/AutoFP8:
```
python quantize.py --model-id facebook/opt-125m --save-dir opt-125m-fp8-dynamic --activation-scheme dynamic
``` | {"tags": ["fp8"]} | nm-testing/opt-125m-fp8-dynamic | null | [
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"safetensors",
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| Made with URL
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="SKHIA2024/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | SKHIA2024/Taxi-v3 | null | [
"Taxi-v3",
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"reinforcement-learning",
"custom-implementation",
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"language": ["it"], "license": "mit", "tags": ["axolotl", "generated_from_trainer", "psycology", "companion"], "datasets": ["WasamiKirua/samantha-ita", "WasamiKirua/psycology-dataset-ita"], "base_model": "DeepMount00/Mistral-Ita-7b", "model-index": [{"name": "Samantha-ita-v0.1", "results": []}]} | WasamiKirua/Samantha-ita-mistral-v0.1 | null | [
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See axolotl config
axolotl version: '0.4.0'
Samantha-ita-v0.1
=================
<img src="https://i.URL alt="cover" border="0" width="1024px">
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null | transformers |
# Uploaded model
- **Developed by:** kyleishie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/tinyllama-bnb-4bit"} | kyleishie/tiny-llama-instruct-Q8_0 | null | [
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] | null | 2024-04-27T15:55:10+00:00 | [] | [
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|
# Uploaded model
- Developed by: kyleishie
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
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text-generation | transformers |
# Model Card for Model ID
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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. -->
# 0.0001_4iters_bs256_nodpo_only4w_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggin... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0001_4iters_bs256_nodpo_only4w_iter_1", "results": []}]} | ShenaoZhang/0.0001_4iters_bs256_nodpo_only4w_iter_1 | null | [
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# 0.0001_4iters_bs256_nodpo_only4w_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
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More information needed
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null | peft |
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text-generation | transformers |
# Model Card for Model ID
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null | transformers |
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
由于Sakura-13B-LNovel-v0.9已被移除，而有人需要HF模型所以找出来上传。
这是一个Sakura-13B-LNovel-v0.9的备份，该版本已不建议使用，请等待官方发布的模型 | {"license": "cc-by-nc-sa-4.0"} | Kunger/Sakura-13B-LNovel-v0.9 | null | [
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#transformers #pytorch #qwen #text-generation #custom_code #license-cc-by-nc-sa-4.0 #autotrain_compatible #region-us
|
由于Sakura-13B-LNovel-v0.9已被移除，而有人需要HF模型所以找出来上传。
这是一个Sakura-13B-LNovel-v0.9的备份，该版本已不建议使用，请等待官方发布的模型 | [] | [
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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": []} | karan842/gemma-code-instruct-finetune-test | null | [
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"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
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"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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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null | null | # Relevant Links
https://gist.github.com/shagunsodhani/9ae6d2364c278c97b1b2f4ec53255c56
https://github.com/shagunsodhani/CNN-Sentence-Classifier
https://arxiv.org/pdf/1408.5882.pdf
https://cs224d.stanford.edu/lectures/CS224d-Lecture13.pdf
https://www.youtube.com/watch?v=wNBaNhvL4pg
Literally free code LOL:
https:... | {} | bobronson/cnn-text | null | [
"arxiv:1408.5882",
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"arxiv:1909.04054",
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#arxiv-1408.5882 #arxiv-1802.00889 #arxiv-1909.04054 #arxiv-1411.4389 #region-us
| # Relevant Links
URL
URL
URL
URL
URL
Literally free code LOL:
URL
URL
URL
URL
URL
/Users/sabkx/venv-metal/lib/python3.11/site-packages/torchtext/datasets/__init__.py:4: UserWarning:
/!\ IMPORTANT WARNING ABOUT TORCHTEXT STATUS /!\
Torchtext is deprecated and the last released version will be... | [
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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": []} | EinsZwo/nlid_ONLY_supertagging-424_00 | 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 | 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"} | gtsru/sn17-vin-011 | null | [
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null | null | ```python
import numpy as np
import torch
import torch.nn as nn
from torchvision import datasets
from torchvision import transforms
from torch.utils.data.sampler import SubsetRandomSampler
from tqdm import tqdm
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
print(device)
```
cuda
```pytho... | {} | bobronson/resnet | null | [
"region:us"
] | null | 2024-04-27T16:15:59+00:00 | [] | [] | TAGS
#region-us
|
cuda
Files already downloaded and verified
Files already downloaded and verified
Files already downloaded and verified
100%|██████████| 176/176 [01:15<00:00, 2.35it/s]
Epoch [1/10], Loss: 1.2169
Accuracy of the network on the 5000 validation images: 58.28 %
1... | [] | [
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sentence-similarity | sentence-transformers |
# Reviews Zero-Shot Sentiment Classification
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pavlentiy/reviews-sentiment-multilingual-e5-base | null | [
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"xlm-roberta",
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"region:us"
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#sentence-transformers #safetensors #xlm-roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# Reviews Zero-Shot Sentiment Classification
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformer... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/adv6pvf | null | [
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"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- 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. -->
# model_outputs
This model is a fine-tuned version of [riotu-lab/ArabianGPT-03B](https://huggingface.co/riotu-lab/ArabianGPT-03B) ... | {"language": ["ar"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["arcd"], "base_model": "riotu-lab/ArabianGPT-03B", "pipeline_tag": "question-answering", "widget": [{"text": "\u0645\u0627 \u0647\u064a \u0627\u0644\u0639\u0648\u0627\u0645\u0644 \u0627\u0644\u062a\u064a \u062a\u0624\u062b\u0... | gp-tar4/QA_FineTuned_ArabianGPT-03B | null | [
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"license:apache-2.0",
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| model\_outputs
==============
This model is a fine-tuned version of riotu-lab/ArabianGPT-03B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.8610
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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. -->
# my_awesome_gliner_model
This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeb... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/mdeberta-v3-base", "model-index": [{"name": "my_awesome_gliner_model", "results": []}]} | Gmanc/my_awesome_gliner_model | null | [
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"base_model:microsoft/mdeberta-v3-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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| my\_awesome\_gliner\_model
==========================
This model is a fine-tuned version of microsoft/mdeberta-v3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4179
* Precision: 0.8607
* Recall: 0.8591
* F1: 0.8599
* Accuracy: 0.8565
Model description
-------------... | [
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null | null | this is a test | {} | dotheboogey678/testmodel0_O | null | [
"region:us"
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#region-us
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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. -->
# my_eli5_clm_model_v2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the eli5_category dataset.
It ... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "gpt2", "model-index": [{"name": "my_eli5_clm_model_v2", "results": []}]} | ljgries/my_eli5_clm_model_v2 | null | [
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"autotrain_compatible",
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| my\_eli5\_clm\_model\_v2
========================
This model is a fine-tuned version of gpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 6.0285
Model description
-----------------
More information needed
Intended uses & limitations
--------------------------... | [
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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": ["unsloth", "trl", "sft"]} | clarkchan/llama3-8b-alpaca-gpt4-chinese | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-generation | transformers |
# Barcenas-2x10.7b-Korean
Barcenas-2x10.7b-Korean is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [chihoonlee10/T3Q-ko-solar-dpo-v6.0](https://huggingface.co/chihoonlee10/T3Q-ko-solar-dpo-v6.0)
* [freewheelin/free-solar-... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "chihoonlee10/T3Q-ko-solar-dpo-v6.0", "freewheelin/free-solar-evo-v0.1"], "base_model": ["chihoonlee10/T3Q-ko-solar-dpo-v6.0", "freewheelin/free-solar-evo-v0.1"]} | Danielbrdz/Barcenas-2x10.7b-Korean | null | [
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"license:apache-2.0",
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# Barcenas-2x10.7b-Korean
Barcenas-2x10.7b-Korean is a merge of the following models using LazyMergekit:
* chihoonlee10/T3Q-ko-solar-dpo-v6.0
* freewheelin/free-solar-evo-v0.1
## Configuration
## Usage
Made with ️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽 | [
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text-generation | transformers |
[](https://github.com/mbzuai-oryx/LLaVA-pp)
# LLaMA-3-V: Extending the Visual Capabilities of LLaVA with Meta-Llama-3-8B-Instruct
## Repository Overview
This repository features LLaVA v1.5 trained with the Meta-Llama-3-8B-Instruct LLM. This integration ... | {} | MBZUAI/LLaVA-Meta-Llama-3-8B-Instruct-FT | null | [
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"conversational",
"autotrain_compatible",
"endpoints_compatible",
"region:us",
"has_space"
] | null | 2024-04-27T16:26:42+00:00 | [] | [] | TAGS
#transformers #safetensors #llava_llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #region-us #has_space
|
![CODE](URL
# LLaMA-3-V: Extending the Visual Capabilities of LLaVA with Meta-Llama-3-8B-Instruct
## Repository Overview
This repository features LLaVA v1.5 trained with the Meta-Llama-3-8B-Instruct LLM. This integration aims to leverage the strengths of both models to offer advanced vision-language understanding.
... | [
"# LLaMA-3-V: Extending the Visual Capabilities of LLaVA with Meta-Llama-3-8B-Instruct",
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... | [
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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. -->
# model_outputs
This model is a fine-tuned version of [riotu-lab/ArabianGPT-01B](https://huggingface.co/riotu-lab/ArabianGPT-01B) ... | {"language": ["ar"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["arcd"], "base_model": "riotu-lab/ArabianGPT-01B", "pipeline_tag": "question-answering", "widget": [{"text": "\u0645\u0627 \u0647\u064a \u0627\u0644\u0639\u0648\u0627\u0645\u0644 \u0627\u0644\u062a\u064a \u062a\u0624\u062b\u0... | gp-tar4/QA_FineTuned_ArabianGpt-01B | null | [
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"license:apache-2.0",
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| model\_outputs
==============
This model is a fine-tuned version of riotu-lab/ArabianGPT-01B on an arcd dataset(Arabic dataset).
It achieves the following results on the evaluation set:
* Loss: 3.0808
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-lolchamps
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-unca... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-lolchamps", "results": []}]} | avinot/distilbert-lolchamps | null | [
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] | null | 2024-04-27T16:28:24+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #fill-mask #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-lolchamps
====================
This model is a fine-tuned version of distilbert-base-uncased on a LoL-Champions-Corpus dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0446
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: 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: 3.0",
"### Trai... | [
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null | null |
# Either the scaling of `down_proj` or the alternating layers makes the models do "strange" stuff:
- They often get confused in the Sherlock Holmes stories.
- They sometimes write their own instructions before writting the stories.
- In prompt #2 they refer to 'Mercer' as a name rather than a profession.
- Most seem ... | {"license": "apache-2.0"} | jukofyork/goliath-esque | null | [
"license:apache-2.0",
"region:us"
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#license-apache-2.0 #region-us
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- Most seem ... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Bone - Training 1
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisp... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Bone - Training 1", "results": []}]} | debussyman/whisper-small-bone-1 | null | [
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"en"
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| Whisper Small Bone - Training 1
===============================
This model is a fine-tuned version of openai/whisper-small on the Bone training set 1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0333
* Wer: 2.2140
Model description
-----------------
More information needed
Inten... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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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. -->
# 0.01_4iters_bs256_nodpo_only4w_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.01_4iters_bs256_nodpo_only4w_iter_2](... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.01_4iters_bs256_nodpo_only4w_iter_2", "model-index": [{"name": "0.01_4iters_bs256_nodpo_only4w_iter_3", "results": []}]} | ShenaoZhang/0.01_4iters_bs256_nodpo_only4w_iter_3 | null | [
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# 0.01_4iters_bs256_nodpo_only4w_iter_3
This model is a fine-tuned version of ShenaoZhang/0.01_4iters_bs256_nodpo_only4w_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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null | mlx |
# mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-8bit
This model was converted to MLX format from [`NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO) for more details on the model.
## Use... | {"language": ["en"], "license": "apache-2.0", "tags": ["Mixtral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "mlx"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistralai/Mixtral-8x7B-v0.1", "widget": [{"example_title": "Hermes 2", "messages": [{"role": "system... | mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-8bit | null | [
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"license:apache-2.0",
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|
# mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-8bit
This model was converted to MLX format from ['NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_model_gpt
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves ... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "gpt2", "model-index": [{"name": "my_awesome_model_gpt", "results": []}]} | Rz1010/my_awesome_model_gpt | null | [
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| my\_awesome\_model\_gpt
=======================
This model is a fine-tuned version of gpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2778
* Accuracy: 0.9579
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
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text-generation | transformers |
[](https://github.com/mbzuai-oryx/LLaVA-pp)
# LLaMA-3-V: Extending the Visual Capabilities of LLaVA with Meta-Llama-3-8B-Instruct
## Repository Overview
This repository features LLaVA v1.5 trained with the Meta-Llama-3-8B-Instruct LLM. This integration ... | {} | MBZUAI/LLaVA-Meta-Llama-3-8B-Instruct-FT-S2 | null | [
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|
![CODE](URL
# LLaMA-3-V: Extending the Visual Capabilities of LLaVA with Meta-Llama-3-8B-Instruct
## Repository Overview
This repository features LLaVA v1.5 trained with the Meta-Llama-3-8B-Instruct LLM. This integration aims to leverage the strengths of both models to offer advanced vision-language understanding.
... | [
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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-ipo
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/Huggin... | {"license": "other", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["argilla/dpo-mix-7k"], "base_model": "HuggingFaceH4/zephyr-7b-gemma-sft-v0.1", "model-index": [{"name": "zephyr-7b-gemma-ipo", "results": []}]} | chrlu/zephyr-7b-gemma-ipo | null | [
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| zephyr-7b-gemma-ipo
===================
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-gemma-sft-v0.1 on the argilla/dpo-mix-7k dataset.
It achieves the following results on the evaluation set:
* Loss: 61.0152
* Rewards/chosen: -0.4988
* Rewards/rejected: -0.6909
* Rewards/accuracies: 0.8021
* Reward... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="igorcardoso/qtable-taxi", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False ... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "qtable-taxi", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 ... | igorcardoso/qtable-taxi | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-27T16:34:49+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
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "llava-1.5-7b-hf-ft-mix-vsft", "results": []}]} | rishabhio/llava-1.5-7b-hf-ft-mix-vsft | null | [
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"sft",
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"region:us"
] | null | 2024-04-27T16:35:37+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-llava-hf/llava-1.5-7b-hf #region-us
|
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
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null | 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": []} | tariq9mehmood9/Mistral-7B-Instruct-v0.2-PEFT-adapters-v2 | null | [
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image-classification | transformers |
# test-image-classifier
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
Report any issues with the demo at the [github repo](https://github.com/natera... | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | Benjoyo/test-image-classifier | null | [
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|
# test-image-classifier
Autogenerated by HuggingPics️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo. | [
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text-generation | transformers |
[](https://github.com/mbzuai-oryx/LLaVA-pp)
# Phi-3-V: Extending the Visual Capabilities of LLaVA with Phi-3
## Repository Overview
This repository features LLaVA v1.5 trained with the Phi-3-mini-3.8B LLM. This integration aims to leverage the strengths... | {"license": "mit"} | MBZUAI/LLaVA-Phi-3-mini-4k-instruct-FT | null | [
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![CODE](URL
# Phi-3-V: Extending the Visual Capabilities of LLaVA with Phi-3
## Repository Overview
This repository features LLaVA v1.5 trained with the Phi-3-mini-3.8B LLM. This integration aims to leverage the strengths of both models to offer advanced vision-language understanding.
## Training Strategy
- Pretr... | [
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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": []} | quickstep3621/xhgwk1y | null | [
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/s749awy | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/2lux9xm | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="charliewang314/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additio... | {"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": ... | charliewang314/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-27T16:45:38+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
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translation | 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. -->
# MistralAI_iwslt15_10000_2
This model is a fine-tuned version of [unsloth/mistral-7b-bnb-4bit](https://huggingface.co/unsloth/mis... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "translation", "generated_from_trainer"], "base_model": "unsloth/mistral-7b-bnb-4bit", "model-index": [{"name": "MistralAI_iwslt15_10000_2", "results": []}]} | Tohrumi/MistralAI_iwslt15_10000_2 | null | [
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"license:apache-2.0",
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#peft #tensorboard #safetensors #trl #sft #unsloth #translation #generated_from_trainer #base_model-unsloth/mistral-7b-bnb-4bit #license-apache-2.0 #region-us
| MistralAI\_iwslt15\_10000\_2
============================
This model is a fine-tuned version of unsloth/mistral-7b-bnb-4bit on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0438
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | SKHIA2024/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
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"model-index",
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-generation | transformers |
# Model Card: Nous-Hermes-13b
## Model Description
Nous-Hermes-13b is a state-of-the-art language model fine-tuned on over 300,000 instructions. This model was fine-tuned by Nous Research, with Teknium and Karan4D leading the fine tuning process and dataset curation, Redmond AI sponsoring the compute, and several ot... | {"language": ["en"], "license": "gpl", "tags": ["llama", "self-instruct", "distillation"]} | sirovub/Nous-Hermes-13b-GGUF | null | [
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"self-instruct",
"distillation",
"en",
"license:gpl",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T16:48:34+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama #text-generation #self-instruct #distillation #en #license-gpl #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card: Nous-Hermes-13b
## Model Description
Nous-Hermes-13b is a state-of-the-art language model fine-tuned on over 300,000 instructions. This model was fine-tuned by Nous Research, with Teknium and Karan4D leading the fine tuning process and dataset curation, Redmond AI sponsoring the compute, and several ot... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | Fk24/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
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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": []} | kanangupta/ghazal-test | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T16:50:24+00:00 | [
"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.
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="charliewang314/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.48 +/... | charliewang314/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
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] | null | 2024-04-27T16:50:39+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 .
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-7b-hf - GGUF
- Model creator: https://huggingface.co/NousResearch/
- Original model: https://huggingface.co/NousRese... | {} | RichardErkhov/NousResearch_-_Llama-2-7b-hf-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-27T16:51:55+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-7b-hf - GGUF
* Model creator: URL
* Original model: URL
Name: Llama-2-7b-hf.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.36GB
Name: Llama-2-7b-hf.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.6GB
Name: Llama-2-7b-hf.IQ3\_S.gguf, Quan... | [] | [
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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": []} | MohammadKarami/medium-electra | null | [
"transformers",
"safetensors",
"electra",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T16:52:56+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #electra #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/chujiezheng/tulu-2-dpo-70b-ExPO
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static quants are available at https://huggingface.co/mradermacher/tulu-2-dp... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "chujiezheng/tulu-2-dpo-70b-ExPO", "license_link": "https://allenai.org/impact-license", "license_name": "ai2-impact-license-low-risk", "quantized_by": "mradermacher"} | mradermacher/tulu-2-dpo-70b-ExPO-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-13b-hf - GGUF
- Model creator: https://huggingface.co/NousResearch/
- Original model: https://huggingface.co/NousRes... | {} | RichardErkhov/NousResearch_-_Llama-2-13b-hf-gguf | null | [
"gguf",
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] | null | 2024-04-27T16:55:06+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-13b-hf - GGUF
* Model creator: URL
* Original model: URL
Name: Llama-2-13b-hf.Q2\_K.gguf, Quant method: Q2\_K, Size: 4.52GB
Name: Llama-2-13b-hf.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 4.99GB
Name: Llama-2-13b-hf.IQ3\_S.gguf,... | [] | [
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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": []} | Peppenapo/gemmaFinetuneTEST | null | [
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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]:
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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": []} | InayaKripa/gemma-toxic-LabelConvoV1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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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. -->
# 0.1_4iters_bs256_nodpo_only4w_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.1_4iters_bs256_nodpo_only4w_iter_1](ht... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.1_4iters_bs256_nodpo_only4w_iter_1", "model-index": [{"name": "0.1_4iters_bs256_nodpo_only4w_iter_2", "results": []}]} | ShenaoZhang/0.1_4iters_bs256_nodpo_only4w_iter_2 | null | [
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|
# 0.1_4iters_bs256_nodpo_only4w_iter_2
This model is a fine-tuned version of ShenaoZhang/0.1_4iters_bs256_nodpo_only4w_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More infor... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/al3uous | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_swinv2-small-patch4-window16-256_fold2
This model is a fine-tuned version of [microsoft/swinv2-small-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swinv2-small-patch4-window16-256", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swinv2-small-patch4-window16-256_fold2", "results": [{"task": {"type": "image-classificatio... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swinv2-small-patch4-window16-256_fold2 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swinv2-small-patch4-window16-256\_fold2
======================================================================
This model is a fine-tuned version of microsoft/swinv2-small-patch4-window16-256 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/l1601jo | null | [
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# Model Card for Model ID
## Model Details
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/rlvv1kh | null | [
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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": []} | MrezaPRZ/CodeLLama_SFT_FILTERED | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | nishant97/lunarlanding | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-27T17:01:41+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
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": []} | mageec/w2v-transcription-mls | null | [
"transformers",
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"endpoints_compatible",
"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
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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. -->
# amtibot_pegasus
This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_d... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/pegasus-cnn_dailymail", "model-index": [{"name": "amtibot_pegasus", "results": []}]} | josiahgottfried/amtibot_pegasus | null | [
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"base_model:google/pegasus-cnn_dailymail",
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-google/pegasus-cnn_dailymail #region-us
| amtibot\_pegasus
================
This model is a fine-tuned version of google/pegasus-cnn\_dailymail on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7407
* Rouge1: 0.4605
* Rouge2: 0.2395
* Rougel: 0.3705
* Rougelsum: 0.3708
* Gen Len: 38.2468
Model description
-----------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/j3eqys8 | null | [
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"text-generation",
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"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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. -->
# xlm
This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twit... | {"tags": ["generated_from_trainer"], "base_model": "cardiffnlp/twitter-xlm-roberta-base-sentiment", "model-index": [{"name": "xlm", "results": []}]} | tidarat/xlm | null | [
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|
# xlm
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
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null | null | Libraries needed:
```
import torch
import torchvision
import torchvision.transforms as transforms
from tqdm import tqdm
from torch import nn
import matplotlib.pyplot as plt
```
to define a data loader
```
transformRes = transforms.Compose([
transforms.ToTensor(),
transforms.Normalize(mean=[0.485, 0.456, 0.4... | {"license": "mit"} | fish-Monger/ResNet | null | [
"license:mit",
"region:us"
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#license-mit #region-us
| Libraries needed:
to define a data loader
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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": []} | MohammadKarami/medium-bert | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T17:13:21+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# style-irs-gorrila
This model is a fine-tuned version of [gorilla-llm/gorilla-openfunctions-v2](https://huggingface.co/gorilla-ll... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "gorilla-llm/gorilla-openfunctions-v2", "model-index": [{"name": "style-irs-gorrila", "results": []}]} | RuoxiL/style-irs-gorrila | null | [
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"generated_from_trainer",
"dataset:generator",
"base_model:gorilla-llm/gorilla-openfunctions-v2",
"license:apache-2.0",
"region:us"
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|
# style-irs-gorrila
This model is a fine-tuned version of gorilla-llm/gorilla-openfunctions-v2 on the generator 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 |
<!-- 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. -->
# 0.001_5iters_bs256_nodpo_only4w_iter_5
This model is a fine-tuned version of [ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_4... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_4", "model-index": [{"name": "0.001_5iters_bs256_nodpo_only4w_iter_5", "results": []}]} | ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_5 | null | [
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# 0.001_5iters_bs256_nodpo_only4w_iter_5
This model is a fine-tuned version of ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_4 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
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null | transformers |
# Uploaded model
- **Developed by:** gromoboy
- **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/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | gromoboy/gemma_lora_model | null | [
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|
# Uploaded model
- Developed by: gromoboy
- License: apache-2.0
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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-kto
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/Huggin... | {"license": "other", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["argilla/dpo-mix-7k"], "base_model": "HuggingFaceH4/zephyr-7b-gemma-sft-v0.1", "model-index": [{"name": "zephyr-7b-gemma-kto", "results": []}]} | chrlu/zephyr-7b-gemma-kto | null | [
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"endpoints... | null | 2024-04-27T17:25:57+00:00 | [] | [] | TAGS
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| zephyr-7b-gemma-kto
===================
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-gemma-sft-v0.1 on the argilla/dpo-mix-7k dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2981
* Rewards/chosen: 1.5381
* Rewards/rejected: -0.1185
* Rewards/accuracies: 0.6979
* Rewards/... | [
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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-Cartpole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | EdwinWiseOne/Reinforce-Cartpole-v1 | null | [
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#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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text-to-image | diffusers | ### 19_21K_V2.1 Dreambooth model trained by ahmed-naseer with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | ahmed-naseer/19-21k-v2-1 | null | [
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#diffusers #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### 19_21K_V2.1 Dreambooth model trained by ahmed-naseer with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
| [
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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. -->
# zlm_b32
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unkn... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "zlm_b32", "results": []}]} | mikhail-panzo/zlm_b32_le3_s4000 | null | [
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"region:us"
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#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us
| zlm\_b32
========
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8058
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
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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": []} | fractalego/wafl-phi3-mini-4k | 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-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. -->
# zlm_b64
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unkn... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "zlm_b64_le3_s4000", "results": []}]} | mikhail-panzo/zlm_b64_le3_s4000 | null | [
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#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us
| zlm\_b64
========
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7960
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/wieeprd | null | [
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"conversational",
"arxiv:1910.09700",
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/hv5xwcd | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# zlm_b128
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unk... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "zlm_b128", "results": []}]} | mikhail-panzo/zlm_b128_le3_s4000 | null | [
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#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us
| zlm\_b128
=========
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7907
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informatio... | [
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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. -->
# test
This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on the GAIR/lima dataset.... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["GAIR/lima"], "base_model": "tiiuae/falcon-7b", "model-index": [{"name": "test", "results": []}]} | pkarypis/test | null | [
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| test
====
This model is a fine-tuned version of tiiuae/falcon-7b on the GAIR/lima dataset.
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* Loss: 2.4176
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
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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": []} | Lucia01/t5_simplification_finetuned | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0424HMA23
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA23", "results": []}]} | Litzy619/V0424HMA23 | null | [
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-27T17:41:25+00:00 | [] | [] | TAGS
#generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424HMA23
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0677
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0424HMA24
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA24", "results": []}]} | Litzy619/V0424HMA24 | null | [
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424HMA24
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0667
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0424HMA25
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA25", "results": []}]} | Litzy619/V0424HMA25 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-27T17:42:17+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424HMA25
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0618
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0424HMA26
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA26", "results": []}]} | Litzy619/V0424HMA26 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424HMA26
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0706
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | vicaloy/llama-2-13-b-checkpoint | null | [
"peft",
"region:us"
] | null | 2024-04-27T17:46:28+00:00 | [] | [] | TAGS
#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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null | null | https://civitai.com/models/420159/mami-nanami-kanojo-okarishimasu-lora | {"license": "creativeml-openrail-m"} | LarryAIDraw/nanamimami-nvwls-v1 | null | [
"license:creativeml-openrail-m",
"region:us"
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#license-creativeml-openrail-m #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
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": []}]} | joacorf33/xlm-roberta-base-finetuned-panx-de | null | [
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"base_model:xlm-roberta-base",
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"region:us"
] | null | 2024-04-27T17:50:20+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-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: 0.1380
* F1: 0.8580
Model description
-----------------
More information needed
Intended uses & l... | [
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"### Traini... | [
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