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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. -->
# nash_dpo_merge_iter_2
This model is a fine-tuned version of [YYYYYYibo/nash_dpo_iter_1](https://huggingface.co/YYYYYYibo/nash_dp... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["updated", "original"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "nash_dpo_merge_iter_2", "results": []}]} | YYYYYYibo/nash_dpo_merge_iter_2 | null | [
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"base_model:alignment-handbook/zephyr-7b-sft-full",
"license:apache-2.0",
"region:us"
] | null | 2024-05-01T10:16:50+00:00 | [] | [] | TAGS
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| nash\_dpo\_merge\_iter\_2
=========================
This model is a fine-tuned version of YYYYYYibo/nash\_dpo\_iter\_1 on the updated and the original datasets.
It achieves the following results on the evaluation set:
* Loss: 0.6368
* Rewards/chosen: -0.5885
* Rewards/rejected: -0.7591
* Rewards/accuracies: 0.6380
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\... | [
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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": []} | twodigit/Meta-Llama-3-8B-Instruct-koconv2_4327k-sft-lora-40000 | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | twodigit/Meta-Llama-3-8B-Instruct-koconv2_4327k-sft-lora-10000 | null | [
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null | null |
# Cali9994/phi-3.8-128k-italian-Q4_K_M-GGUF
This model was converted to GGUF format from [`nonsonpratico/phi-3.8-128k-italian`](https://huggingface.co/nonsonpratico/phi-3.8-128k-italian) 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 ... | {"language": ["it"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["seeweb/Seeweb-it-292-forLLM"]} | Cali9994/phi-3.8-128k-italian-Q4_K_M-GGUF | null | [
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|
# Cali9994/phi-3.8-128k-italian-Q4_K_M-GGUF
This model was converted to GGUF format from 'nonsonpratico/phi-3.8-128k-italian' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
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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": []} | twodigit/Meta-Llama-3-8B-Instruct-koconv2_4327k-sft-lora-80000 | null | [
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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. -->
# Finetune-test2
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "Finetune-test2", "results": []}]} | AmaanUsmani/Finetune-test2 | null | [
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"base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
"license:apache-2.0",
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|
# Finetune-test2
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.8662
- eval_runtime: 15.7392
- eval_samples_per_second: 6.354
- eval_steps_per_second: 1.588
- epoch: 12.0
- step: 675
## Model ... | [
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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": []} | rahulprajapat9/tokenizer | null | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | transformers |
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null | transformers |
# Uploaded model
- **Developed by:** srbdtwentyfour
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | srbdtwentyfour/mystery-llama-3-8b | null | [
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|
# Uploaded model
- Developed by: srbdtwentyfour
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | 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": []} | gen-bi/llama-2-ko-juno-7b | null | [
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# Model Card for Model ID
## Model Details
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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": []} | rainerberger/planetn6 | null | [
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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"]} | Chhabi/ppo-Huggy | null | [
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#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:
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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="ArnavModanwal/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add addition... | {"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": ... | ArnavModanwal/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
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# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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text-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": []} | RefalMachine/ruadapt_llama3_part1-2_vo_3e4_bs256 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** davanstrien
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | davanstrien/LLama-3-dataset-tldr-gguf | 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": ["unsloth"]} | reevan/gemma_kan_rom_16bit | 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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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="ArnavModanwal/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False et... | {"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 +/- ... | ArnavModanwal/Taxi-v3 | null | [
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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-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. -->
# emotion-turkish19
This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-t... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "dbmdz/bert-base-turkish-cased", "model-index": [{"name": "emotion-turkish19", "results": []}]} | asude55/emotion-turkish19 | null | [
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"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:dbmdz/bert-base-turkish-cased",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T10:36:20+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-dbmdz/bert-base-turkish-cased #license-mit #autotrain_compatible #endpoints_compatible #region-us
| emotion-turkish19
=================
This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2663
* Accuracy: 0.9333
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": []} | steve1989/fingpt-SA-bnb-4bits-finedtuned-financialphrasebank | null | [
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# Model Card for Model ID
## Model Details
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null | mlx |
# GreenBitAI/01-Yi-9B-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/01-Yi-9B-layer-mix-bpw-3.0`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/01-Yi-9B-layer-mix-bpw-3.0) for more details on the model.
## Use with mlx
```bash
pip install gbx... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/01-Yi-9B-layer-mix-bpw-3.0-mlx | null | [
"mlx",
"safetensors",
"llama",
"license:apache-2.0",
"region:us"
] | null | 2024-05-01T10:37:04+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-apache-2.0 #region-us
|
# GreenBitAI/01-Yi-9B-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/01-Yi-9B-layer-mix-bpw-3.0']().
Refer to the original model card for more details on the model.
## Use with mlx
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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": []} | sanchit42/Mistral-7b-4bit-finetune | null | [
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-MiniLM-L6-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L6-v2) as the Sent... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-MiniLM-L6-v2", "widget": [{"text": "What fabric has a comfortable feel and is suitable for people with sensitive skin?"... | Jazielinho/fabric_model | null | [
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| SetFit with sentence-transformers/paraphrase-MiniLM-L6-v2
=========================================================
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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": []} | rainerberger/planetn7 | null | [
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text-generation | transformers |
# Merged-Vicuna-RP-Stew-34B
Quantized 4.25 exl2 of the model down below:
https://huggingface.co/MarinaraSpaghetti/RP-Stew-v2.5-34B
Specialized parquet used:
https://huggingface.co/datasets/ParasiticRogue/Bluemoon-Light?not-for-all-audiences=true
## Merge Details
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# Merged-Vicuna-RP-Stew-34B
Quantized 4.25 exl2 of the model down below:
URL
Specialized parquet used:
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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-cartpole2", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"t... | joosma/Reinforce-cartpole2 | null | [
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# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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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-tiny-hi-capstone
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny)... | {"language": ["en", "zh", "de", "es", "ru", "ko", "fr", "ja", "pt", "tr", "pl", "ca", "nl", "ar", "sv", "it", "id", "hi", "fi", "vi", "he", "uk", "za"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-ti... | mageec/whisper-tiny-hi-capstone | null | [
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========================
This model is a fine-tuned version of openai/whisper-tiny on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2348
* Wer: 116.5644
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": []} | tomaszki/stablelm-50 | null | [
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"conversational",
"arxiv: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-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. -->
# isy503-a03
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbe... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["Q-b1t/IMDB-Dataset-of-50K-Movie-Reviews-Backup"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "isy503-a03", "results": []}]} | nicoketterer/isy503-a03 | null | [
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| isy503-a03
==========
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the IMDB Dataset of 50K Movie Reviews dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2328
* Accuracy: 0.9318
Model description
-----------------
A sentiment analysis model used on a aca... | [
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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": []} | wannaphong/numfalm-chat-full | null | [
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|
# Model Card for Model ID
## Model Details
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null | null | Mailvita EML to Gmail Importer for Mac Software is an accurate method for importing EML files into a Gmail account. This application exports data from EML files to a Gmail account without causing any data loss. This application is compatible with all email applications that use EML files, including Windows Live Mail, O... | {} | mailvita/mailvita-eml-to-gmail-importer-for-mac | 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": "Trelis/Llama-2-7b-chat-hf-sharded-bf16"} | bobbins228/Llama-2-7b-chat-hf-sharded-bf16-fine-tuned-adapters | null | [
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### Model Sources [optional]
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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. -->
# Bert-fine-tuned-WiC
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "Bert-fine-tuned-WiC", "results": []}]} | rycecorn/Bert-fine-tuned-WiC | null | [
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| Bert-fine-tuned-WiC
===================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6958
* Accuracy: 0.6881
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
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null | null |
Voice models for the Mimic 3 text to speech system.
Original source: https://github.com/MycroftAI/mimic3-voices
| {"language": ["af", "bn", "de", "el", "en", "en", "es", "fa", "fi", "fr", "gu", "ha", "hu", "it", "jv", "ko", "ne", "nl", "pl", "ru", "sw", "te", "tn", "uk", "vi", "yo"], "license": "cc-by-sa-4.0"} | mukowaty/mimic3-voices | null | [
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|
Voice models for the Mimic 3 text to speech system.
Original source: URL
| [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | abc88767/model29 | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Nadhir3/Mistral-7B-Instruct-v0.2-fine-tuned | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** davanstrien
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "orpo"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | davanstrien/LLama-3-dataset-tldr | null | [
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# Uploaded model
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- License: apache-2.0
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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": []} | Paula-Sanchez/fine_tuned_t5_small_model_wiki_auto | null | [
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|
# Model Card for Model ID
## Model Details
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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 |
## Baichuan2-7B-Chat-DcardStylePost-SFT
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "JiunYi/Baichuan2-7B-Chat-DcardStylePost-SFT"
messages = [{"role": "user", "content": "【任务】：\n你是口碑行销公司的资深写手，现在要撰写一篇Dcard 『闲聊版』的口碑文。... | {"language": ["zh"], "license": "gpl-3.0", "tags": ["art", "marketing", "llama-factory"], "metrics": ["bleu"], "base_model": "baichuan-inc/Baichuan2-7B-Chat", "pipeline_tag": "text-generation"} | JiunYi/Baichuan2-7B-Chat-DcardStylePost-SFT | null | [
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|
## Baichuan2-7B-Chat-DcardStylePost-SFT
## Usage
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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. -->
# 0.00001_withdpo_4iters_bs256_531lr_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_sample1_4iters_bs256_i... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_1", "model-index": [{"name": "0.00001_withdpo_4iters_bs256_531lr_iter_2", "results": []}]} | ShenaoZ/0.00001_withdpo_4iters_bs256_531lr_iter_2 | null | [
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# 0.00001_withdpo_4iters_bs256_531lr_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
M... | [
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image-to-text | transformers | <u><b>We are creating a spatial aware vision-language(VL) model.</b></u>
This is a trained model on COCO dataset images including extra information regarding the spatial relationship between the entities of the image.
This is a sequence to sequence model for image-captioning. The architecture is <u><b>ViT encoder and... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference"], "metrics": ["code_eval"], "pipeline_tag": "image-to-text"} | voxreality/rgb_language_cap | null | [
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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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "CohereForAI/aya-101", "model-index": [{"name": "aya-LoRA-.5", "results": []}]} | Nima-nlc/aya-LoRA-.5 | null | [
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<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# aya-LoRA-.5
This model is a fine-tuned version of CohereForAI/aya-101 on an unknown dataset.
## Model description
More information needed
## Intended uses & li... | [
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null | null | this is a demo nlp transformer model
| {"license": "mit"} | zunnu/NER_transformer | 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": []} | OwOOwO/llamafinal3 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | llama 3 trained with custom dataset | {} | iimran/llama3-GGUF | null | [
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text-generation | transformers | ## Model Details | {"language": ["uk"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | marveled/busya | null | [
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null | transformers |
# Uploaded model
- **Developed by:** Crysiss
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Crysiss/llama3-8B-welfare-unsloth-last | null | [
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# Uploaded model
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null | null | 'Apple ', 'Banana', 'Maize', 'Orange', 'Tomatoes' , 'Watermelom', 'Groundnuts', 'Mango', 'Grapes', 'Cotton', 'Coffee', 'Rice' | {} | duyv/Yolov7-HeThongNhanDienVaDeXuatCayTrong | null | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["llama-factory"]} | Moriacrafter/Qwen-1.8B_DepressionDetection | null | [
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## 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 |
### LeroyDyer/Mixtral_AI_CyberUltron_DPO
## TRAINED TO THINK!
Using a simple prompt template
It has been possible to RE-TRAIN - Some datasets to display the thoughts ; which can rannge from calculations to pathways not chosen to classification tasks : or even language programology:
ie X is a Y : etc :
Its import... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "code", "medical ", "farmer", "doctor", "Mega-Series", "Cyber-Series", "Role-Play", "Self-Rag", "ThinkingBot", "milestone", "mega-series", "SpydazWebAI", "thin... | LeroyDyer/Mixtral_AI_Samantha | null | [
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null | null | SameTools to Remove EML Duplicates can be used to quickly and easily remove duplicate EML files. All duplicate EML files, emails, attachments, and many more can be simply removed or deleted with this program. Duplicate EML files from Thunderbird, Outlook Express, Windows Live Mail, Dream Mail, and other email clients c... | {"license": "mit"} | SameTools/Remove-EML-Duplicates | null | [
"license:mit",
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#license-mit #region-us
| SameTools to Remove EML Duplicates can be used to quickly and easily remove duplicate EML files. All duplicate EML files, emails, attachments, and many more can be simply removed or deleted with this program. Duplicate EML files from Thunderbird, Outlook Express, Windows Live Mail, Dream Mail, and other email clients c... | [] | [
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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 Test TR - Erdi YALÇIN
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper... | {"language": ["tr"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Test TR - Erdi YAL\u00c7IN", "results": [{"task": {"type": "automatic-speech-recognition", "... | erdiyalcin/whisper-test | null | [
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| Whisper Test TR - Erdi YALÇIN
=============================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3674
* Wer: 27.3214
Model description
-----------------
More information needed
Intended u... | [
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-MiniLM-L6-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L6-v2) as the Sent... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-MiniLM-L6-v2", "widget": [{"text": "What fabric has a comfortable feel and is suitable for people with sensitive skin?"... | Jazielinho/fabric_model_1 | null | [
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| SetFit with sentence-transformers/paraphrase-MiniLM-L6-v2
=========================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-MiniLM-L6-v2 as the Sentence Transformer embedding model. A LogisticRegression in... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** herisan
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | herisan/llama-3-8b-alpaca-cleaned | null | [
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|
# Uploaded model
- Developed by: herisan
- License: apache-2.0
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<img src="URL width="200"/>
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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-rob... | {"tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-en", "results": []}]} | u00890358/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: 0.3995
* F1: 0.6887
Model description
-----------------
More information needed
Intended uses & l... | [
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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. -->
# HPY_gpt2_v5
This model is a fine-tuned version of [ClassCat/gpt2-base-french](https://huggingface.co/ClassCat/gpt2-base-french) ... | {"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "HPY_gpt2_v5", "results": []}]} | azizkt/HPY_gpt2_v5 | null | [
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#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| HPY\_gpt2\_v5
=============
This model is a fine-tuned version of ClassCat/gpt2-base-french on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5584
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More in... | [
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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. -->
# LongRiver/distilbert-base-cased-finetuned
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilb... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-cased", "model-index": [{"name": "LongRiver/distilbert-base-cased-finetuned", "results": []}]} | LongRiver/distilbert-base-cased-finetuned | null | [
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| LongRiver/distilbert-base-cased-finetuned
=========================================
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset.
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* Train Loss: 1.7185
* Train End Logits Accuracy: 0.5917
* Train Start Logits Accuracy: 0.56... | [
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token-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": []} | 007Rahul/ner_model | null | [
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|
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Uploaded model
- **Developed by:** abdulrehmanibk
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "metrics": ["accuracy"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "pipeline_tag": "text-generation"} | abdulrehmanibk/mpg2_project | null | [
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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": "CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "m... | commanderxa/CartPole-v1 | null | [
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|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## 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": []} | fxmeng/PiSSA-Llama-3-70B-4bit-r64-1iter | null | [
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|
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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. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | ajinkyabhandare/mistral_instruct_generation | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| mistral\_instruct\_generation
=============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7257
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\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: constant\n* lr\\_scheduler\\_warmup\\_step... | [
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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. -->
# no_board_history_with_sys_history_v2_10epoch_lr5e-5_batch2
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf]... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "no_board_history_with_sys_history_v2_10epoch_lr5e-5_batch2", "results": []}]} | wenshicheng97/no_board_history_with_sys_history_v2_10epoch_lr5e-5_batch2 | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
|
# no_board_history_with_sys_history_v2_10epoch_lr5e-5_batch2
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
"# no_board_history_with_sys_history_v2_10epoch_lr5e-5_batch2\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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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. -->
# DreamBooth - mrtuandao/dreambooth-tuan-without-prior
This is a dreambooth model derived from runwayml/stable-diffusion-... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true, "instance_prompt": "a photo of SKS person"} | mrtuandao/dreambooth-tuan-without-prior | null | [
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|
# DreamBooth - mrtuandao/dreambooth-tuan-without-prior
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of SKS person using DreamBooth.
You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
DreamBooth for the text encoder was e... | [
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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": []} | baraah/blip2-opt-2.7b-1-5 | null | [
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# Model Card for Model ID
## Model Details
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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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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-ro... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-all", "results": []}]} | u00890358/xlm-roberta-base-finetuned-panx-all | null | [
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| 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: 0.1769
* F1: 0.8516
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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text-to-image | diffusers |
# DreamBooth model for the space concept trained by livewalk on the livewalk/james-webb-telescope dataset.
This is a Stable Diffusion model fine-tuned on the space concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of space telescope**
This model was created as part of the DreamBoo... | {"license": "creativeml-openrail-m", "tags": ["pytorch", "diffusers", "stable-diffusion", "text-to-image", "diffusion-models-class", "dreambooth-hackathon", "science"], "widget": [{"text": "a photo of space telescope in the second Sun-Earth Lagrange point (L2)"}]} | livewalk/space-telescope | null | [
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|
# DreamBooth model for the space concept trained by livewalk on the livewalk/james-webb-telescope dataset.
This is a Stable Diffusion model fine-tuned on the space concept with DreamBooth. It can be used by modifying the 'instance_prompt': a photo of space telescope
This model was created as part of the DreamBooth H... | [
"# DreamBooth model for the space concept trained by livewalk on the livewalk/james-webb-telescope dataset.\n\nThis is a Stable Diffusion model fine-tuned on the space concept with DreamBooth. It can be used by modifying the 'instance_prompt': a photo of space telescope\n\nThis model was created as part of the Drea... | [
"TAGS\n#diffusers #safetensors #pytorch #stable-diffusion #text-to-image #diffusion-models-class #dreambooth-hackathon #science #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
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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. -->
# swin-base-patch4-window7-224-finetuned-ind-17-imbalanced-aadhaarmask
This model is a fine-tuned version of [microsoft/swin-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy", "recall", "f1", "precision"], "base_model": "microsoft/swin-base-patch4-window7-224", "model-index": [{"name": "swin-base-patch4-window7-224-finetuned-ind-17-imbalanced-aadhaarmask", "results": [{"task": {... | Kushagra07/swin-base-patch4-window7-224-finetuned-ind-17-imbalanced-aadhaarmask | null | [
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| swin-base-patch4-window7-224-finetuned-ind-17-imbalanced-aadhaarmask
====================================================================
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3209
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\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=1... | [
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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": []} | vijayvarmak/gemma-FT-Gemini-Full | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sea-lion-7b-text-to-sql
This model is a fine-tuned version of [aisingapore/sea-lion-7b-instruct](https://huggingface.co/aisingap... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "aisingapore/sea-lion-7b-instruct", "model-index": [{"name": "sea-lion-7b-text-to-sql", "results": []}]} | Phuree/sea-lion-7b-text-to-sql | null | [
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|
# sea-lion-7b-text-to-sql
This model is a fine-tuned version of aisingapore/sea-lion-7b-instruct on the generator 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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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. -->
# Mistral 7B NL2BASH Agent
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistr... | {"language": ["en"], "license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["jiacheng-ye/nl2bash"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral 7B NL2BASH Agent", "results": []}]} | pranay-j/mistral-7b-nl2bash-agent | null | [
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| Mistral 7B NL2BASH Agent
========================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the nl2bash dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5952
Model description
-----------------
Mistral 7B NL2BASH Agent is a fine-tuned model that conve... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2.5e-05\n* train\\_batch\\_size: 10\n* eval\\_batch\\_size: 10\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 40\n* optimizer: Adam with betas=(0.9,0.999) and epsil... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2.5e-05\n* train\\_batch\\_size:... | [
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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... | emmermarcell/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-05-01T11:50:33+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 | 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. -->
# Finetune-test3
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "Finetune-test3", "results": []}]} | AmaanUsmani/Finetune-test3 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-05-01T11:53:42+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| Finetune-test3
==============
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6143
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1-4x4-no_slippery**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1-4x4-no_slippery** .
## Usage
model = load_from_hub(repo_id="ws11yrin/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need t... | {"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": ... | ws11yrin/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-01T11:53:46+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1-4x4-no_slippery
This is a trained model of a Q-Learning agent playing FrozenLake-v1-4x4-no_slippery .
## Usage
model = load_from_hub(repo_id="ws11yrin/q-FrozenLake-v1-4x4-noSlippery", filename="URL")
# Don't forget to check if you need to add additional attributes... | [
"# Q-Learning Agent playing1 FrozenLake-v1-4x4-no_slippery\n This is a trained model of a Q-Learning agent playing FrozenLake-v1-4x4-no_slippery .\n\n ## Usage\n\n model = load_from_hub(repo_id=\"ws11yrin/q-FrozenLake-v1-4x4-noSlippery\", filename=\"URL\")\n\n # Don't forget to check if you need to add addition... | [
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null | transformers | # GGUF / IQ / Imatrix for [Spicy-Laymonade-7B](https://huggingface.co/ABX-AI/Spicy-Laymonade-7B)
Adding GGUF as I noticed the HF model had a lot of downloads but I never quantized it originally.
**W... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "not-for-all-audiences"], "base_model": ["cgato/TheSpice-7b-v0.1.1", "ABX-AI/Laymonade-7B"]} | ABX-AI/Spicy-Laymonade-7B-GGUF-IQ-Imatrix | null | [
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"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T11:55:18+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #not-for-all-audiences #base_model-cgato/TheSpice-7b-v0.1.1 #base_model-ABX-AI/Laymonade-7B #license-other #endpoints_compatible #region-us
| # GGUF / IQ / Imatrix for Spicy-Laymonade-7B
Adding GGUF as I noticed the HF model had a lot of downloads but I never quantized it originally.
!image/png
Why Importance Matrix?
Importance Matrix, at least based on my testing, has shown to improve the output and performance of "IQ"-type quantizations, where the comp... | [
"# GGUF / IQ / Imatrix for Spicy-Laymonade-7B\n\nAdding GGUF as I noticed the HF model had a lot of downloads but I never quantized it originally.\n\n!image/png\n\nWhy Importance Matrix?\n\nImportance Matrix, at least based on my testing, has shown to improve the output and performance of \"IQ\"-type quantizations,... | [
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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 - naripok/corgy_dog_LoRA
<Gallery />
## Model description
These are naripok/corgy_dog_LoRA LoRA ... | {"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 photo of TOK dog", "wi... | naripok/corgy_dog_LoRA | null | [
"diffusers",
"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 | 2024-05-01T11:56:25+00:00 | [] | [] | TAGS
#diffusers #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 - naripok/corgy_dog_LoRA
<Gallery />
## Model description
These are naripok/corgy_dog_LoRA 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 training: madebyo... | [
"# SDXL LoRA DreamBooth - naripok/corgy_dog_LoRA\n\n<Gallery />",
"## Model description\n\nThese are naripok/corgy_dog_LoRA 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 used for tr... | [
"TAGS\n#diffusers #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 \n",
"# SDXL LoRA DreamBooth - naripok/corgy_dog_LoRA\n\n<Gallery />",
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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. -->
# layoutlm-funsd
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["funsd"], "base_model": "microsoft/layoutlm-base-uncased", "model-index": [{"name": "layoutlm-funsd", "results": []}]} | leom21/layoutlm-funsd | null | [
"transformers",
"tensorboard",
"safetensors",
"layoutlm",
"token-classification",
"generated_from_trainer",
"dataset:funsd",
"base_model:microsoft/layoutlm-base-uncased",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T11:56:57+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #layoutlm #token-classification #generated_from_trainer #dataset-funsd #base_model-microsoft/layoutlm-base-uncased #license-mit #autotrain_compatible #endpoints_compatible #region-us
| layoutlm-funsd
==============
This model is a fine-tuned version of microsoft/layoutlm-base-uncased on the funsd dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6771
* Answer: {'precision': 0.7107258938244854, 'recall': 0.8108776266996292, 'f1': 0.7575057736720554, 'number': 809}
* Heade... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-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* num\\_epochs: 15\n* mixed\\_prec... | [
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text-generation | transformers |
다른 가짜 컨텍 확장과 다른 아직까지 유일무이한 라마3 70b inst 32k. | {"license": "other", "license_name": "llama3", "license_link": "LICENSE"} | maywell/Llama-3-70B-Instruct-32k | null | [
"transformers",
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"llama",
"text-generation",
"conversational",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T11:59:47+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
다른 가짜 컨텍 확장과 다른 아직까지 유일무이한 라마3 70b inst 32k. | [] | [
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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 Tiny chinese - VingeNie
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whispe... | {"language": ["zh"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "Whisper Tiny chinese - VingeNie", "results": []}]} | VingeNie/whisper-tiny-zh_CN_lr5 | null | [
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"dataset:mozilla-foundation/common_voice_16_1",
"base_model:openai/whisper-tiny",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T12:00:23+00:00 | [] | [
"zh"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #zh #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-tiny #license-apache-2.0 #endpoints_compatible #region-us
| Whisper Tiny chinese - VingeNie
===============================
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 16.1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7486
* Cer Ortho: 54.2817
* Cer: 29.8525
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\\_with\\_warmup\n* lr\\_schedule... | [
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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 Tiny chinese - VingeNie
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whispe... | {"language": ["zh"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "Whisper Tiny chinese - VingeNie", "results": []}]} | VingeNie/whisper-tiny-zh_CN_lr4 | null | [
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"dataset:mozilla-foundation/common_voice_16_1",
"base_model:openai/whisper-tiny",
"license:apache-2.0",
"endpoints_compatible",
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] | null | 2024-05-01T12:00:31+00:00 | [] | [
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] | TAGS
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| Whisper Tiny chinese - VingeNie
===============================
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 16.1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7223
* Cer Ortho: 40.6344
* Cer: 29.5803
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\\_with\\_warmup\n* lr\\_schedul... | [
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text-generation | transformers | youko-8bは、追加の日本語継続事前学習により日本語が大変流暢なLlama-3です。
Instructionモデルとの差分ベクトルマージを行いました。
> rinna/llama-3-youko-8b + 0.8*(meta-llama/Meta-Llama-3-8B-Instruct - meta-llama/Meta-Llama-3-8B)
詳細は[rinna/llama-3-youko-8b](https://huggingface.co/rinna/llama-3-youko-8b)をご確認ください。 | {"license": "llama3"} | aixsatoshi/Llama-3-youko-8b-instruct-chatvector | null | [
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"license:llama3",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T12:00:50+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| youko-8bは、追加の日本語継続事前学習により日本語が大変流暢なLlama-3です。
Instructionモデルとの差分ベクトルマージを行いました。
> rinna/llama-3-youko-8b + 0.8*(meta-llama/Meta-Llama-3-8B-Instruct - meta-llama/Meta-Llama-3-8B)
詳細はrinna/llama-3-youko-8bをご確認ください。 | [] | [
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] |
text-to-image | diffusers |
# Insane Realistic 2
Original page: https://civitai.com/models/108585/
Samples and prompts:
(Click for larger)
Top left: a cute girl with freckles on her f... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["Base Model", "Realism", "Female", "Woman", "cordonsolution8", "stable-diffusion", "stable-diffusion-diffusers", "diffusers", "text-to-image"], "pipeline_tag": "text-to-image"} | Yntec/insaneRealistic_v2 | null | [
"diffusers",
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"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
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|
# Insane Realistic 2
Original page: URL
Samples and prompts:
!Free online AI image generator Insane Realistic 2
(Click for larger)
Top left: a cute girl with freckles on her face, cgsociety unreal engine, wet t-shirt, short skirt, style of aenami alena, trending on artstartion, inspired by Fyodor Vasilyev, looks ... | [
"# Insane Realistic 2\n\nOriginal page: URL\n\nSamples and prompts:\n\n!Free online AI image generator Insane Realistic 2\n\n(Click for larger)\n\nTop left: a cute girl with freckles on her face, cgsociety unreal engine, wet t-shirt, short skirt, style of aenami alena, trending on artstartion, inspired by Fyodor Va... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - rshir/sdxl-lora-rshir
<Gallery />
## Model description
These are rshir/sdxl-lora-rshir LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: Fals... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of Roman Shirochenko wearing casual clothes, taking a selfie, and smili... | rshir/sdxl-lora-rshir | null | [
"diffusers",
"autotrain",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-05-01T12:01:20+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - rshir/sdxl-lora-rshir
<Gallery />
## Model description
These are rshir/sdxl-lora-rshir 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 training... | [
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"TAGS\n#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n",
"# AutoTrain SDXL LoRA DreamBooth - rshir/sdxl-lora-rshir\n\n<Gallery />",
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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": []} | AbhishekG13/phi-3-alto-shaam-qna | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T12:02:39+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #phi3 #text-generation #conversational #custom_code #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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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. -->
# Image-Arousal-new
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Image-Arousal-new", "results": []}]} | SeyedAli/Image-Arousal-new | null | [
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"license:apache-2.0",
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| Image-Arousal-new
=================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6535
* Accuracy: 0.4591
Model description
-----------------
More information needed
Intended uses & limitations
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\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* num\\_epochs: 4",
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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_withdpo_4iters_bs256_432lr_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_sample1_4iters_bs256_ite... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_1", "model-index": [{"name": "0.001_withdpo_4iters_bs256_432lr_iter_2", "results": []}]} | ShenaoZ/0.001_withdpo_4iters_bs256_432lr_iter_2 | null | [
"transformers",
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"mistral",
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"license:mit",
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"e... | null | 2024-05-01T12:08:52+00:00 | [] | [] | TAGS
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# 0.001_withdpo_4iters_bs256_432lr_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
Mor... | [
"# 0.001_withdpo_4iters_bs256_432lr_iter_2\n\nThis model is a fine-tuned version of ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_1 on the updated and the original datasets.",
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text-generation | transformers | # Model Card
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio).
- Base model: [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
## Usage
To use the model with the `transformers` library on a machine with GPUs, first make ... | {"language": ["en"], "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "inference": false, "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico"} | Aaryan-Nakhat/experiment-41-intelligent-layer-2-plus-exp-39-data | null | [
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"region:us"
] | null | 2024-05-01T12:09:38+00:00 | [] | [
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#transformers #safetensors #llama #text-generation #gpt #llm #large language model #h2o-llmstudio #conversational #en #autotrain_compatible #text-generation-inference #region-us
| # Model Card
## Summary
This model was trained using H2O LLM Studio.
- Base model: meta-llama/Meta-Llama-3-8B-Instruct
## Usage
To use the model with the 'transformers' library on a machine with GPUs, first make sure you have the 'transformers' library installed.
Also make sure you are providing your huggingface... | [
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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": []} | research-dump/Fine_tuned_bert-base-uncased_TAQA_extension | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T12:12:10+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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video-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. -->
# videomae-base-finetuned-ucf101-subset
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-N... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ucf101-subset", "results": []}]} | kkumtori/videomae-base-finetuned-ucf101-subset | null | [
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"base_model:MCG-NJU/videomae-base",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T12:13:17+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| videomae-base-finetuned-ucf101-subset
=====================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2776
* Accuracy: 0.8429
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\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\\_ratio: ... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1-4x4**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1-4x4** .
## Usage
model = load_from_hub(repo_id="ws11yrin/q-FrozenLake-v1-4x4", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_sli... | {"tags": ["FrozenLake-v1-4x4", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4", "type": "FrozenLake-v1-4x4"}, "metrics": [{... | ws11yrin/q-FrozenLake-v1-4x4 | null | [
"FrozenLake-v1-4x4",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-01T12:14:41+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1-4x4
This is a trained model of a Q-Learning agent playing FrozenLake-v1-4x4 .
## Usage
model = load_from_hub(repo_id="ws11yrin/q-FrozenLake-v1-4x4", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = UR... | [
"# Q-Learning Agent playing1 FrozenLake-v1-4x4\n This is a trained model of a Q-Learning agent playing FrozenLake-v1-4x4 .\n\n ## Usage\n\n model = load_from_hub(repo_id=\"ws11yrin/q-FrozenLake-v1-4x4\", filename=\"URL\")\n\n # Don't forget to check if you need to add additional attributes (is_slippery=False et... | [
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null | transformers |
# Uploaded model
- **Developed by:** Crysiss
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Crysiss/llama3-8B-welfare-unsloth-last-2 | null | [
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|
# Uploaded model
- Developed by: Crysiss
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | mengren1942/codeparrot-ds | null | [
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"base_model:gpt2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T12:15:00+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| codeparrot-ds
=============
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0604
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsil... | [
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null | mlx |
# mlx-community/llama-3-youko-8b-8bit
This model was converted to MLX format from [`rinna/llama-3-youko-8b`]() using mlx-lm version **0.12.1**.
Refer to the [original model card](https://huggingface.co/rinna/llama-3-youko-8b) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
fro... | {"language": ["ja", "en"], "license": "llama3", "tags": ["mlx"], "datasets": ["mc4", "wikipedia", "EleutherAI/pile", "oscar-corpus/colossal-oscar-1.0", "cc100"], "thumbnail": "https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png", "inference": false} | mlx-community/llama-3-youko-8b-8bit | null | [
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"dataset:cc100",
"license:llama3",
"region:us"
] | null | 2024-05-01T12:15:12+00:00 | [] | [
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|
# mlx-community/llama-3-youko-8b-8bit
This model was converted to MLX format from ['rinna/llama-3-youko-8b']() using mlx-lm version 0.12.1.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/llama-3-youko-8b-8bit\nThis model was converted to MLX format from ['rinna/llama-3-youko-8b']() using mlx-lm version 0.12.1.\nRefer to the original model card for more details on the model.",
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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. -->
# model_3_epochs_no_perturb
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "model_3_epochs_no_perturb", "results": []}]} | cria111/model_3_epochs_no_perturb | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T12:16:05+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #token-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| model\_3\_epochs\_no\_perturb
=============================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1620
* Precision: 0.2876
* Recall: 0.3063
* F1: 0.2967
* Accuracy: 0.9558
Model description
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mT5.testy.tedtalks.simple
This model is a fine-tuned version of [samzirbo/mT5.pretrained.en-es.16K](https://huggingface.co/samzi... | {"tags": ["generated_from_trainer"], "base_model": "samzirbo/mT5.pretrained.en-es.16K", "model-index": [{"name": "mT5.testy.tedtalks.simple", "results": []}]} | samzirbo/mT5.testy.tedtalks.simple | null | [
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"safetensors",
"mt5",
"text2text-generation",
"generated_from_trainer",
"base_model:samzirbo/mT5.pretrained.en-es.16K",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T12:16:17+00:00 | [] | [] | TAGS
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|
# URL
This model is a fine-tuned version of samzirbo/URL-es.16K on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: nan
- eval_bleu: 0.0
- eval_meteor: 0.0
- eval_chrF++: 0.0
- eval_runtime: 87.7839
- eval_samples_per_second: 22.783
- eval_steps_per_second: 0.365
- epoch: 0.... | [
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null | transformers |
# Uploaded model
- **Developed by:** ghaluh
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit"} | ghaluh/lora_SS_phi3_cefr_cep | null | [
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|
# Uploaded model
- Developed by: ghaluh
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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"]} | DeMuenu/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-05-01T12:17:29+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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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
text-generation | transformers |
> Update @ 2024.05.01: Pre-Release Llama-3-KoEn-8B model & [Llama-3-KoEn-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-KoEn-8B-Instruct-preview)
## Model Details
**Llama-3-KoEn-8B**
Llama-3-KoEn-8B model is continued pretrained language model based on Llama-3-8B.
This model is trained with Korean+Engli... | {"language": ["en", "ko"], "license": "cc-by-nc-sa-4.0", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-3-ko"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | beomi/Llama-3-KoEn-8B-preview | null | [
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"arxiv:2310.04799",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-05-01T12:18:52+00:00 | [
"2310.04799"
] | [
"en",
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|
>
> Update @ 2024.05.01: Pre-Release Llama-3-KoEn-8B model & Llama-3-KoEn-8B-Instruct-preview
>
>
>
Model Details
-------------
Llama-3-KoEn-8B
Llama-3-KoEn-8B model is continued pretrained language model based on Llama-3-8B.
This model is trained with Korean+English corpus.
The train was done on TPUv4-2... | [
"### Responsibility & Safety\n\n\nWe believe that an open approach to AI leads to better, safer products, faster innovation, and a bigger overall market. We are committed to Responsible AI development and took a series of steps to limit misuse and harm and support the open source community.\n\n\nFoundation models a... | [
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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. -->
# swinv2-tiny-patch4-window8-256-finetuned-ind-17-imbalanced-aadhaarmask
This model is a fine-tuned version of [microsoft/swinv2-t... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy", "recall", "f1", "precision"], "base_model": "microsoft/swinv2-tiny-patch4-window8-256", "model-index": [{"name": "swinv2-tiny-patch4-window8-256-finetuned-ind-17-imbalanced-aadhaarmask", "results": [{"task... | Kushagra07/swinv2-tiny-patch4-window8-256-finetuned-ind-17-imbalanced-aadhaarmask | null | [
"transformers",
"tensorboard",
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"base_model:microsoft/swinv2-tiny-patch4-window8-256",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T12:19:50+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #swinv2 #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swinv2-tiny-patch4-window8-256 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| swinv2-tiny-patch4-window8-256-finetuned-ind-17-imbalanced-aadhaarmask
======================================================================
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\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=1... | [
"TAGS\n#transformers #tensorboard #safetensors #swinv2 #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swinv2-tiny-patch4-window8-256 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe followi... | [
79,
142,
5,
48
] | [
"TAGS\n#transformers #tensorboard #safetensors #swinv2 #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swinv2-tiny-patch4-window8-256 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyp... |
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