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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adapterhappy2sad-2k-search-50-0.005 | null | [
"transformers",
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"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text-classification | transformers | Text Profanity Model
| {} | parsawar/my_model | null | [
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#transformers #tensorboard #safetensors #distilbert #text-classification #autotrain_compatible #endpoints_compatible #region-us
| Text Profanity Model
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null | null |
GGUF version of [double7/vicuna-160m](https://huggingface.co/double7/vicuna-160m). | {"license": "apache-2.0", "base_model": "double7/vicuna-160m"} | Felladrin/gguf-vicuna-160m | null | [
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"region:us"
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#gguf #base_model-double7/vicuna-160m #license-apache-2.0 #region-us
|
GGUF version of double7/vicuna-160m. | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** HoangLe1312
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | HoangLe1312/codecontest-solver-lora | null | [
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#transformers #safetensors #text-generation-inference #unsloth #gemma #trl #en #base_model-unsloth/gemma-7b-it-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: HoangLe1312
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | DNA-55/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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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. -->
# OpenHermes_finetued_on_scigen
This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/t... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "teknium/OpenHermes-2.5-Mistral-7B", "model-index": [{"name": "OpenHermes_finetued_on_scigen", "results": []}]} | moetezsa/OpenHermes_finetued_on_scigen | null | [
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"base_model:teknium/OpenHermes-2.5-Mistral-7B",
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|
# OpenHermes_finetued_on_scigen
This model is a fine-tuned version of teknium/OpenHermes-2.5-Mistral-7B on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | usr-bin-ksh/testmodel | null | [
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#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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text-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": []} | Crysiss/llama-3-8B-healthcare-15000-double-qunt | null | [
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"llama",
"text-generation",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-29T08:57:03+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
# DavidAU/MythoLogic-13b-Q8_0-GGUF
This model was converted to GGUF format from [`Gryphe/MythoLogic-13b`](https://huggingface.co/Gryphe/MythoLogic-13b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/... | {"language": ["en"], "license": "other", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/MythoLogic-13b-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
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#gguf #llama-cpp #gguf-my-repo #en #license-other #region-us
|
# DavidAU/MythoLogic-13b-Q8_0-GGUF
This model was converted to GGUF format from 'Gryphe/MythoLogic-13b' 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:
Server:
Note: Yo... | [
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null | transformers |
# Uploaded model
- **Developed by:** xiaoliy2
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-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/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | xiaoliy2/mistral-7b-instruct-ft-formal-3 | null | [
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|
# Uploaded model
- Developed by: xiaoliy2
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-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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null | null |
# DavidAU/MythoBoros-13b-Q8_0-GGUF
This model was converted to GGUF format from [`Gryphe/MythoBoros-13b`](https://huggingface.co/Gryphe/MythoBoros-13b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/... | {"language": ["en"], "license": "other", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/MythoBoros-13b-Q8_0-GGUF | null | [
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"llama-cpp",
"gguf-my-repo",
"en",
"license:other",
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] | null | 2024-04-29T08:58:42+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-other #region-us
|
# DavidAU/MythoBoros-13b-Q8_0-GGUF
This model was converted to GGUF format from 'Gryphe/MythoBoros-13b' 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:
Server:
Note: Yo... | [
"# DavidAU/MythoBoros-13b-Q8_0-GGUF\nThis model was converted to GGUF format from 'Gryphe/MythoBoros-13b' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | null | Llama3-TAIDE在使用基於llama.ccp(如ollama)的本地執行時會連續生成token 無法正常對話,修正stop token,讓模型對話可以正常對話
When Llama3-TAIDE is executed locally using software based on llama.cpp (such as ollama), it continuously generates tokens and is unable to converse properly. Correcting the stop token resolved this issue, allowing normal conversation.
... | {} | SciMaker/Llama3-TAIDE-llama.ccp-ollama-fix | null | [
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#gguf #region-us
| Llama3-TAIDE在使用基於llama.ccp(如ollama)的本地執行時會連續生成token 無法正常對話,修正stop token,讓模型對話可以正常對話
When Llama3-TAIDE is executed locally using software based on URL (such as ollama), it continuously generates tokens and is unable to converse properly. Correcting the stop token resolved this issue, allowing normal conversation.
---
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/crcqyul | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** congtoubingtang
- **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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | congtoubingtang/mainl | null | [
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# Uploaded model
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- License: apache-2.0
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<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... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth"], "datasets": ["Rebecca19990101/petro-dataset-v2"], "metrics": ["code_eval", "accuracy"]} | Rebecca19990101/Llama3-Petro-Instruct-v1 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # biomistral_ties_v1_7b
This model is the result of merge of the following models made with flow-merge:
- Base model:
- mistralai/Mistral-7B-Instruct-v0.1
- Models:
- BioMistral/BioMistral-Safetensors
## flow-merge config
The following configuration was used to merge the models:
```yaml
method: ties-merging
met... | {"library_name": "transformers", "tags": ["flow-merge", "merge"]} | Flowrite/biomistral_ties_v1_7b | null | [
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#transformers #safetensors #mistral #text-generation #flow-merge #merge #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # biomistral_ties_v1_7b
This model is the result of merge of the following models made with flow-merge:
- Base model:
- mistralai/Mistral-7B-Instruct-v0.1
- Models:
- BioMistral/BioMistral-Safetensors
## flow-merge config
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/99dvtfr | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adapterhappy2sad-2k-search-filtered-50-0.005 | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# biomistral-7b-dpo-full-sft-wo-medication_qa
This model is a fine-tuned version of [Minbyul/biomistral-7b-wo-medication_qa-sft](h... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "Minbyul/biomistral-7b-wo-medication_qa-sft", "model-index": [{"name": "biomistral-7b-dpo-full-sft-wo-medication_... | Minbyul/biomistral-7b-dpo-full-sft-wo-medication_qa | null | [
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============================================
This model is a fine-tuned version of Minbyul/biomistral-7b-wo-medication\_qa-sft on the HuggingFaceH4/ultrafeedback\_binarized dataset.
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* Rewards/chosen:... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** congtoubingtang
- **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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | congtoubingtang/main_16bit | null | [
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|
# Uploaded model
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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": []} | andersonbcdefg/tiny-emb-2024-04-29_09-05-40 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | Teera/sentence-transformers-mini-thai-v2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
GGUF version of [double7/vicuna-68m](https://huggingface.co/double7/vicuna-68m). | {"license": "apache-2.0", "base_model": "double7/vicuna-68m"} | Felladrin/gguf-vicuna-68m | null | [
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|
GGUF version of double7/vicuna-68m. | [] | [
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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. -->
# Baby-Llama-58M-RUN3_4
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the f... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "Baby-Llama-58M-RUN3_4", "results": []}]} | ninagroot/Baby-Llama-58M-RUN3_4 | null | [
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| Baby-Llama-58M-RUN3\_4
======================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.1614
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# PolizzeDonut-LastProvaClust-Cluster3di7-5Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5ep... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-LastProvaClust-Cluster3di7-5Epochs", "results": []}]} | tedad09/PolizzeDonut-LastProvaClust-Cluster3di7-5Epochs | null | [
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|
# PolizzeDonut-LastProvaClust-Cluster3di7-5Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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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. -->
# layoutlmv3-finetuned-cord_gpu
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "layoutlmv3-finetuned-cord_gpu", "results": []}]} | MuryTheReaper/layoutlmv3-finetuned-cord_gpu | null | [
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| layoutlmv3-finetuned-cord\_gpu
==============================
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3983
* Precision: 0.8664
* Recall: 0.8625
* F1: 0.8644
* Accuracy: 0.8969
Model description
------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers"} | kishorea/Llama3_medqa | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | pzz1255/distilbert-base-uncased-finetuned-emotion | null | [
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
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* Loss: 0.2102
* Accuracy: 0.9255
* F1: 0.9252
Model description
-----------------
Mo... | [
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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": []} | jmzzomg/clip-vit-base-patch32-text-onnx | 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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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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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | Unclad3610/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
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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": []} | kishorea/Llama3_medqa_final | null | [
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## 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 | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# outputs_500
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown da... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "outputs_500", "results": []}]} | AK232003/outputs_500 | null | [
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# outputs_500
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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### Training hyperparameters
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text-generation | transformers |
# Uploaded model
- **Developed by:** congtoubingtang
- **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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | congtoubingtang/main_4bit | null | [
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# Uploaded model
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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. -->
# falcon-7b-instruct-WP
This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "tiiuae/falcon-7b-instruct", "model-index": [{"name": "falcon-7b-instruct-WP", "results": []}]} | uzairsiddiqui/falcon-7b-instruct-WP | null | [
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More information needed
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More information needed
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More information needed
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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. -->
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text-to-image | diffusers |
# Model Card for Model ID
fp16 version of https://huggingface.co/SG161222/RealVisXL_V4.0 with fixed vae
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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": []} | AmirlyPhd/v6-bert-combined-dataset-text-classification-model | null | [
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text-generation | transformers |
paper: [強化学習を用いてキャラクタらしさを付与した雑談応答の生成](https://www.jstage.jst.go.jp/article/jsaislud/94/0/94_06/_article/-char/ja/) | {"language": ["ja"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | tealgreen0503/japanese-gpt2-medium-ppo-araisan | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
Predicts whether the news article's title is fake or real.
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### Model Description
<!-- Provide a longer summary of what this model is. -->
This model's purpose is to classify, whether the information, given in th... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["fake news"], "metrics": ["accuracy"], "pipeline_tag": "text-classification"} | omykhailiv/bert-fake-news-recognition | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [motherfucker0/zhun01](https://huggingface.co/motherfucker0/zhun01) as a ba... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhen09", "motherfucker0/zhun01"]} | motherfucker0/derrick02 | null | [
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This is a merge of pre-trained language models created using mergekit.
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text-generation | transformers |
# Model Card for Model ID
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | <!-- header start -->
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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. -->
# Baby-Llama-58M-RUN3_5
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the f... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "Baby-Llama-58M-RUN3_5", "results": []}]} | ninagroot/Baby-Llama-58M-RUN3_5 | null | [
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| Baby-Llama-58M-RUN3\_5
======================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.2749
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/uf74ay4 | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2-math
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the math dataset.
## Model description
... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["math"], "model-index": [{"name": "gpt2-math", "results": []}]} | sakethp2003/gpt2-math | null | [
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# gpt2-math
This model is a fine-tuned version of gpt2 on the math dataset.
## Model description
More information needed
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More information needed
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'my_exp'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'LunarL... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | Epoching/ppo-scratch-LunarLander-v2 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | madanagrawal/text_classifier | null | [
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| my\_awesome\_model
==================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4359
* Accuracy: 0.8081
Model description
-----------------
More information needed
Intended uses & limitatio... | [
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null | transformers |
# Uploaded model
- **Developed by:** s50227harry
- **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"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | s50227harry/llama-3-8B-lora | 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": []} | Peppenapo/gemmaFinetuneTEST2 | null | [
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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-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | mansee/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
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* Loss: 0.2055
* Accuracy: 0.9208
Model description
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adapterhappy2sad-2k-search-50-0.006 | null | [
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null | transformers | ## About
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null | transformers | ## About
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# PolizzeDonut-LastProvaClust-Cluster5di7-5Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5ep... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-LastProvaClust-Cluster5di7-5Epochs", "results": []}]} | tedad09/PolizzeDonut-LastProvaClust-Cluster5di7-5Epochs | null | [
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# PolizzeDonut-LastProvaClust-Cluster5di7-5Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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null | peft |
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null | transformers |
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null | peft |
# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
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null | peft |
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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. -->
# traduction-fr-co-mistral-7b
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/M... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "traduction-fr-co-mistral-7b", "results": []}]} | zenocode-org/traduction-fr-co-mistral-7b | null | [
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| traduction-fr-co-mistral-7b
===========================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut_synDB_wplus
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut_synDB_wplus", "results": []}]} | Donut01/donut_synDB_wplus | null | [
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#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
| donut\_synDB\_wplus
===================
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0887
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 7e-05\n* train\\_batch\\_size: 5\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 6\n* total\\_train\\_batch\\_size: 30\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | usr-bin-ksh/autotrain-lchp3-d1ij0 | null | [
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"peft",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-29T09:50:08+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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] |
text-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": []} | avemio-digital/llama3-checkpoint-3000-orpo | null | [
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"text-generation",
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"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# PolizzeDonut-LastProvaClust-Cluster7di7-5Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5ep... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-LastProvaClust-Cluster7di7-5Epochs", "results": []}]} | tedad09/PolizzeDonut-LastProvaClust-Cluster7di7-5Epochs | null | [
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"dataset:imagefolder",
"base_model:tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T09:50:34+00:00 | [] | [] | TAGS
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|
# PolizzeDonut-LastProvaClust-Cluster7di7-5Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
"# PolizzeDonut-LastProvaClust-Cluster7di7-5Epochs\n\nThis model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.",
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"## Intended uses & limitations\n\nMore information needed",
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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. -->
# tiny-bart-sst3-distilled
This model is a fine-tuned version of [aravindhank/valuenet-bart-base](https://huggingface.co/aravindha... | {"tags": ["generated_from_trainer"], "base_model": "aravindhank/valuenet-bart-base", "model-index": [{"name": "tiny-bart-sst3-distilled", "results": []}]} | aravindhank/tiny-bart-sst3-distilled | null | [
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T09:51:32+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-aravindhank/valuenet-bart-base #autotrain_compatible #endpoints_compatible #region-us
|
# tiny-bart-sst3-distilled
This model is a fine-tuned version of aravindhank/valuenet-bart-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training ... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Yuma42/KangalKhan-Ruby-7B-Fixed
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "argilla/CapybaraHermes-2.5-Mistral-7B", "argilla/distilabeled-OpenHermes-2.5-Mistral-7B"], "base_model": "Yuma42/KangalKhan-Ruby-7B-Fixed", "quantized_by": "mradermacher"} | mradermacher/KangalKhan-Ruby-7B-Fixed-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
<!-- 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_v4
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_v4", "results": []}]} | azizkt/HPY_gpt2_v4 | null | [
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"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-29T09:57:43+00:00 | [] | [] | TAGS
#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\_v4
=============
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: 1.7656
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More in... | [
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text-classification | setfit |
# SetFit with mental/mental-bert-base-uncased
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [mental/mental-bert-base-uncased](https://huggingface.co/mental/mental-bert-base-uncased) as the Sentence Transformer embedding model. A [Logis... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "mental/mental-bert-base-uncased", "widget": [{"text": "I let myself go, I make no effort to eat, sleep or take care of myself."}, {"text": "There's no s... | richie-ghost/setfit-mental-bert-base-uncased-Suicidal-Topic-Check | null | [
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] | null | 2024-04-29T09:57:55+00:00 | [
"2209.11055"
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| SetFit with mental/mental-bert-base-uncased
===========================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses mental/mental-bert-base-uncased as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The m... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.01_3iters_bs256_nodpo_full6w_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.01_3iters_bs256_nodpo_full6w_iter_2](... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.01_3iters_bs256_nodpo_full6w_iter_2", "model-index": [{"name": "0.01_3iters_bs256_nodpo_full6w_iter_3", "results": []}]} | ShenaoZhang/0.01_3iters_bs256_nodpo_full6w_iter_3 | null | [
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"autotrain_compatible",
"endp... | null | 2024-04-29T09:58:15+00:00 | [] | [] | TAGS
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# 0.01_3iters_bs256_nodpo_full6w_iter_3
This model is a fine-tuned version of ShenaoZhang/0.01_3iters_bs256_nodpo_full6w_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
"# 0.01_3iters_bs256_nodpo_full6w_iter_3\n\nThis model is a fine-tuned version of ShenaoZhang/0.01_3iters_bs256_nodpo_full6w_iter_2 on the updated and the original datasets.",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/na8e4g2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
The model is a fine-tuned large language model on using publically available medical data.
Base model: Llama-3-8B
## Model Description
- **Developed by:** Probe Medical, MAILAB from Yonsei University
- **Model type:** LLM
- **Language(s) (NLP):** English
- **Finetuned from model:** llama-3-8b
## Training Hyperpara... | {"license": "llama3"} | probemedicalandyonseimailab/Llama-8B-1807 | null | [
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|
The model is a fine-tuned large language model on using publically available medical data.
Base model: Llama-3-8B
## Model Description
- Developed by: Probe Medical, MAILAB from Yonsei University
- Model type: LLM
- Language(s) (NLP): English
- Finetuned from model: llama-3-8b
## Training Hyperparameters
- Lora Ra... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/a1yhfkt | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** itayl
- **License:** apache-2.0
- **Finetuned from model :** yam-peleg/Hebrew-Mistral-7B
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/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "yam-peleg/Hebrew-Mistral-7B"} | itayl/Hebrew-Mistral-7B_Chat-lora | null | [
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|
# Uploaded model
- Developed by: itayl
- License: apache-2.0
- Finetuned from model : yam-peleg/Hebrew-Mistral-7B
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [motherfucker0/zhun01](https://huggingface.co/motherfucker0/zhun01) as a ba... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhun01", "motherfucker0/derrick02"]} | motherfucker0/derrick03 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-29T10:01:42+00:00 | [
"2306.01708"
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using motherfucker0/zhun01 as a base.
### Models Merged
The following models were included in the merge:
* motherfucker0/derrick02
### Configuration
T... | [
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null | transformers |
# Uploaded model
- **Developed by:** yekaii
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-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/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | yekaii/test_lora_model | null | [
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|
# Uploaded model
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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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="loziobo/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional att... | {"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": ... | loziobo/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-29T10:02:28+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-generation | null | # The GGUF Version
<center>
<img src="https://cdn-uploads.huggingface.co/production/uploads/6116d0584ef9fdfbf45dc4d9/QqnmEUN3c3fvnnDlFVfUV.png">
</center>
### About GGUF
GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cp... | {"language": ["ar"], "license": "llama3", "tags": ["gguf"], "pipeline_tag": "text-generation"} | MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct-GGUF | null | [
"gguf",
"text-generation",
"ar",
"license:llama3",
"region:us"
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"ar"
] | TAGS
#gguf #text-generation #ar #license-llama3 #region-us
| # The GGUF Version
<center>
<img src="URL
</center>
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GGML, which is no longer supported by URL.
Here is an incomplete list of clients and libraries that are known to support GGUF:
* ollama. Recommended
* UR... | [
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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="pietroorlandi/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": ... | pietroorlandi/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-29T10:04:12+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
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="elisamammi/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional ... | {"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": ... | elisamammi/q-FrozenLake-v1-4x4-noSlippery | null | [
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"reinforcement-learning",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
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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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] |
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. -->
# Transliteration-Moroccan-Darija
This model is trained to convert Moroccan Darija text written in Arabizi (Latin script) to Arabi... | {"language": ["ar"], "tags": ["generated_from_trainer"], "datasets": ["atlasia/ATAM"], "model-index": [{"name": "Transliteration-Moroccan-Darija", "results": []}]} | atlasia/Transliteration-Moroccan-Darija | null | [
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|
# Transliteration-Moroccan-Darija
This model is trained to convert Moroccan Darija text written in Arabizi (Latin script) to Arabic letters.
Whether you're dealing with informal texts, social media posts, or any other content in Moroccan Arabizi, the model is here to help you accurately transliterate it into Arabi... | [
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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="loziobo/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.52 +/... | loziobo/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-29T10:06:43+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-dpo-full-sft-wo-medication_qa
This model is a fine-tuned version of [Minbyul/mistral-7b-wo-medication_qa-sft](https:/... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "Minbyul/mistral-7b-wo-medication_qa-sft", "model-index": [{"name": "mistral-7b-dpo-full-sft-wo-medication_qa", "... | Minbyul/mistral-7b-dpo-full-sft-wo-medication_qa | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"trl",
"dpo",
"generated_from_trainer",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"base_model:Minbyul/mistral-7b-wo-medication_qa-sft",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatibl... | null | 2024-04-29T10:07:06+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #trl #dpo #generated_from_trainer #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-Minbyul/mistral-7b-wo-medication_qa-sft #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| mistral-7b-dpo-full-sft-wo-medication\_qa
=========================================
This model is a fine-tuned version of Minbyul/mistral-7b-wo-medication\_qa-sft on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0756
* Rewards/chosen: -3.7115
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n*... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Yuma42/KangalKhan-RawEmerald-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "argilla/CapybaraHermes-2.5-Mistral-7B", "argilla/distilabeled-OpenHermes-2.5-Mistral-7B"], "base_model": "Yuma42/KangalKhan-RawEmerald-7B", "quantized_by": "mradermacher"} | mradermacher/KangalKhan-RawEmerald-7B-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"argilla/CapybaraHermes-2.5-Mistral-7B",
"argilla/distilabeled-OpenHermes-2.5-Mistral-7B",
"en",
"base_model:Yuma42/KangalKhan-RawEmerald-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T10:07:16+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #argilla/CapybaraHermes-2.5-Mistral-7B #argilla/distilabeled-OpenHermes-2.5-Mistral-7B #en #base_model-Yuma42/KangalKhan-RawEmerald-7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #argilla/CapybaraHermes-2.5-Mistral-7B #argilla/distilabeled-OpenHermes-2.5-Mistral-7B #en #base_model-Yuma42/KangalKhan-RawEmerald-7B #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
100
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] |
null | null | ¿Qué es Yenki Derm gel?
Yenki Derm Precio es una crema de primera calidad diseñada específicamente para aliviar los síntomas de la psoriasis, incluida la inflamación, la picazón y la descamación de la piel. Su fórmula avanzada integra una mezcla sinérgica de ingredientes naturales conocidos por sus propiedades calmant... | {"license": "apache-2.0"} | YenkiDermMexico/YenkiDermMexico | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-29T10:07:16+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| ¿Qué es Yenki Derm gel?
Yenki Derm Precio es una crema de primera calidad diseñada específicamente para aliviar los síntomas de la psoriasis, incluida la inflamación, la picazón y la descamación de la piel. Su fórmula avanzada integra una mezcla sinérgica de ingredientes naturales conocidos por sus propiedades calmant... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
13
] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] |
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="elisamammi/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | elisamammi/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-29T10:08:10+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
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="pietroorlandi/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False ... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.50 +/... | pietroorlandi/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-29T10:09:05+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
image-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.25049543380737305
f1_macro: 0.8057413756994828
f1_micro: 0.9143052236258109
f1_weighted: 0.9129097427012546
precision_macro: 0.8645407928168571
precision_micro: 0.9143052236258109
precision_weighted: 0.9181845072... | {"tags": ["autotrain", "image-classification"], "datasets": ["autotrain-z4v51-00h62/autotrain-data"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg", "exam... | Kushagra07/autotrain-z4v51-00h62 | null | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"autotrain",
"dataset:autotrain-z4v51-00h62/autotrain-data",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T10:09:49+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #autotrain #dataset-autotrain-z4v51-00h62/autotrain-data #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.25049543380737305
f1_macro: 0.8057413756994828
f1_micro: 0.9143052236258109
f1_weighted: 0.9129097427012546
precision_macro: 0.8645407928168571
precision_micro: 0.9143052236258109
precision_weighted: 0.9181845072... | [
"# Model Trained Using AutoTrain\n\n- Problem type: Image Classification",
"## Validation Metrics\nloss: 0.25049543380737305\n\nf1_macro: 0.8057413756994828\n\nf1_micro: 0.9143052236258109\n\nf1_weighted: 0.9129097427012546\n\nprecision_macro: 0.8645407928168571\n\nprecision_micro: 0.9143052236258109\n\nprecision... | [
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"# Model Trained Using AutoTrain\n\n- Problem type: Image Classification",
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text-classification | setfit |
# SetFit with intfloat/multilingual-e5-large
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) as the Sentence Transformer embedding model. A [Logistic... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "intfloat/multilingual-e5-large", "widget": [{"text": "What promotions in RTEC have shown declining effectiveness and can be discontinued?"}, {"text": "W... | vgarg/promo_prescriptive_28_04_2024 | null | [
"setfit",
"safetensors",
"xlm-roberta",
"sentence-transformers",
"text-classification",
"generated_from_setfit_trainer",
"arxiv:2209.11055",
"base_model:intfloat/multilingual-e5-large",
"model-index",
"region:us"
] | null | 2024-04-29T10:10:12+00:00 | [
"2209.11055"
] | [] | TAGS
#setfit #safetensors #xlm-roberta #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-intfloat/multilingual-e5-large #model-index #region-us
| SetFit with intfloat/multilingual-e5-large
==========================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses intfloat/multilingual-e5-large as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The mode... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: intfloat/multilingual-e5-large\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 512 tokens\n* Number of Classes: 7 classes",
"### Model Sources\n\n\n* Repository: SetFit on GitHub\n* Paper: Efficient Fe... | [
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"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: intfloat/multilingual-e5-larg... | [
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text-generation | transformers | <p align="center"> <img src="https://huggingface.co/Crystalcareai/LlaMoE-Medium/resolve/main/resources/ddb-nye2T3C3vZwJJm1l6A.png" width="auto" title="LlaMoE-Medium model image"> </p>
This is a 4x8b Llama Mixture of Experts (MoE) model. It was trained on OpenHermes Resort from the Dolphin-2.9 dataset.
The model is a ... | {} | Crystalcareai/LlaMoE-Medium | null | [
"transformers",
"safetensors",
"deepseek",
"text-generation",
"conversational",
"custom_code",
"autotrain_compatible",
"region:us"
] | null | 2024-04-29T10:10:57+00:00 | [] | [] | TAGS
#transformers #safetensors #deepseek #text-generation #conversational #custom_code #autotrain_compatible #region-us
| <p align="center"> <img src="URL width="auto" title="LlaMoE-Medium model image"> </p>
This is a 4x8b Llama Mixture of Experts (MoE) model. It was trained on OpenHermes Resort from the Dolphin-2.9 dataset.
The model is a combination of 4 Llama fine-tunes, using DeepSpeed-MoE's architecture. All experts are active for ... | [] | [
"TAGS\n#transformers #safetensors #deepseek #text-generation #conversational #custom_code #autotrain_compatible #region-us \n"
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31
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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. -->
# V4-bert-text-classification-model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-unc... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "bert-base-uncased", "model-index": [{"name": "V4-bert-text-classification-model", "results": []}]} | AmirlyPhd/v10-bert-combined-dataset-text-classification-model | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T10:11:22+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| V4-bert-text-classification-model
=================================
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: 0.1669
* Accuracy: 0.9625
* F1: 0.8267
* Precision: 0.8224
* Recall: 0.8323
Model description
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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null | pyannote | This is the model card of a pyannote model that has been pushed on the Hub. This model card has been automatically generated. | {"library_name": "pyannote", "tags": ["pyannote", "pyannote.audio", "pyannote-audio-model", "audio", "voice", "speech", "speaker", "speaker-recognition", "speaker-verification", "speaker-identification", "speaker-embedding", "PyTorch", "wespeaker"], "licence": "cc-by-4.0"} | kamilakesbi/speaker_embeddings | null | [
"pyannote",
"pytorch",
"pyannote.audio",
"pyannote-audio-model",
"audio",
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"speaker-verification",
"speaker-identification",
"speaker-embedding",
"PyTorch",
"wespeaker",
"region:us"
] | null | 2024-04-29T10:12:21+00:00 | [] | [] | TAGS
#pyannote #pytorch #pyannote.audio #pyannote-audio-model #audio #voice #speech #speaker #speaker-recognition #speaker-verification #speaker-identification #speaker-embedding #PyTorch #wespeaker #region-us
| This is the model card of a pyannote model that has been pushed on the Hub. This model card has been automatically generated. | [] | [
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] |
null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Yuma42/KangalKhan-RawRuby-7B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/KangalKhan-R... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "Yuma42/KangalKhan-Ruby-7B-Fixed", "Yuma42/KangalKhan-RawEmerald-7B"], "base_model": "Yuma42/KangalKhan-RawRuby-7B", "quantized_by": "mradermacher"} | mradermacher/KangalKhan-RawRuby-7B-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"Yuma42/KangalKhan-Ruby-7B-Fixed",
"Yuma42/KangalKhan-RawEmerald-7B",
"en",
"base_model:Yuma42/KangalKhan-RawRuby-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T10:12:29+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #Yuma42/KangalKhan-Ruby-7B-Fixed #Yuma42/KangalKhan-RawEmerald-7B #en #base_model-Yuma42/KangalKhan-RawRuby-7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | 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. -->
# PolizzeDonut-LastProvaClust-Cluster6di7-5Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5ep... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-LastProvaClust-Cluster6di7-5Epochs", "results": []}]} | tedad09/PolizzeDonut-LastProvaClust-Cluster6di7-5Epochs | null | [
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"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T10:16:53+00:00 | [] | [] | TAGS
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|
# PolizzeDonut-LastProvaClust-Cluster6di7-5Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evalu... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/arcee-ai/Llama-3-MegaMed-8B-Model-Stock
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit"], "base_model": "arcee-ai/Llama-3-MegaMed-8B-Model-Stock", "quantized_by": "mradermacher"} | mradermacher/Llama-3-MegaMed-8B-Model-Stock-GGUF | null | [
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"region:us"
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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. -->
# basic_train_basic_test 1000 similar params: per_device_train_batch_size=32, # bylo 16 a pod tim 1 gradient_accumulation_steps=2, ... | {"language": ["multilingual"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "basic_train_basic_test 1000 similar params: per_device_train_batch_s... | xbilek25/whisper-small-train-v2.1 | null | [
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"license:apache-2.0",
"model-index",
"endpoints_compatib... | null | 2024-04-29T10:19:14+00:00 | [] | [
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| basic\_train\_basic\_test 1000 similar params: per\_device\_train\_batch\_size=32, # bylo 16 a pod tim 1 gradient\_accumulation\_steps=2, warmup\_steps=300, max\_steps=3000
===================================================================================================================================================... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/73y19p3 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T10:19:36+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/gjq48wq | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T10:19:41+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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