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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": []} | utahnlp/imdb_facebook_opt-13b_seed-1 | null | [
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# Model Card for Model ID
## Model Details
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text-generation | transformers |
# Viviana_V3
Viviana_V3 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [domie/Viviana_V2](https://huggingface.co/domie/Viviana_V2)
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
## 🧩 Configuration
```yaml
slices:
- sour... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "domie/Viviana_V2", "mistralai/Mistral-7B-Instruct-v0.2"]} | domie/Viviana_V3 | null | [
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|
# Viviana_V3
Viviana_V3 is a merge of the following models using mergekit:
* domie/Viviana_V2
* mistralai/Mistral-7B-Instruct-v0.2
## Configuration
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # [MaziyarPanahi/YamshadowExperiment27pastiche-7B-GGUF](https://huggingface.co/MaziyarPanahi/YamshadowExperiment27pastiche-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
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- Model creator: automerger
- Original model: automerger/YamshadowExperiment27pastiche-7B
## Description
MaziyarPanahi/YamshadowExperiment27pastiche-7B-GGUF contains GGUF format model files for automerger/YamshadowExperiment27pastiche-7B.
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null | transformers |
# Uploaded model
- **Developed by:** thevin123
- **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.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-classification | transformers |
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text-generation | transformers | <!-- header start -->
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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
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text-classification | transformers |
# Model Card for Model ID
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text-classification | transformers |
# Model Card for Model ID
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automatic-speech-recognition | transformers |
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null | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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More information needed
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text-generation | transformers |
# Model Card for Model ID
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### Model Description
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text-classification | transformers |
# Model Card for Model ID
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null | null | # Modified AlexNet with CNN Visualisation
<!-- Provide a quick summary of what the model is/does. -->
This model was used to understand cognitive processing of predicting other individuals goals from various sources of information, like gaze, hand preshape or arm trajectory.
## Model Details
### Model Description
... | {} | makiisthebes/AlexNet_CNN_Visualisation | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
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### Model Description
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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": []} | utahnlp/imdb_gpt2-medium_seed-3 | 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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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TroyDoesAI/Mermaid_Yi-9B_Factual_Temps_Full_Synthetic
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this... | {"language": ["en"], "license": "cc-by-4.0", "library_name": "transformers", "base_model": "TroyDoesAI/Mermaid_Yi-9B_Factual_Temps_Full_Synthetic", "quantized_by": "mradermacher"} | mradermacher/Mermaid_Yi-9B_Factual_Temps_Full_Synthetic-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 |
## MiquMaid v3
Check out our blogpost about this model series [Here!](https://ikaridevgit.github.io/index.html?blog=blogid-6&bo=true#Miqu-base) - Join our Discord server [Here!](https://discord.gg/Bb8pRUXy3Z)
<center><div style="width: 100%;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63ab1... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw", "merge"]} | NeverSleep/MiquMaid-v3-70B | null | [
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|
## MiquMaid v3
Check out our blogpost about this model series Here! - Join our Discord server Here!
<center><div style="width: 100%;">
<img src="URL style="display: block; margin: auto;">
</div></center>
This model uses the Alpaca prompting format
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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": []} | utahnlp/imdb_gpt2-large_seed-1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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### Model Description
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null | null |
### Model Description
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null | null |
### Model Description
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### Model Description
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null | null |
### Model Description
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### Model Description
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null | null |
### Model Description
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### Model Description
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
# TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
| **[Paper](https://arxiv.org/abs/2403.19318)** | **[Training set](https://huggingface.co/datasets/RUCKBReasoning/TableLLM-SFT)** | **[Github](https://github.com/TableLLM/TableLLM)** | **[Homepage](https://tablellm.github.io/)** | *... | {"language": ["en"], "license": "llama2", "tags": ["Table", "QA", "Code"], "datasets": ["RUCKBReasoning/TableLLM-SFT"]} | blockblockblock/TableLLM-13b-bpw5 | null | [
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| TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
===================================================================================
| Paper | Training set | Github | Homepage | Platform |
We present TableLLM, a powerful large language model designed to handle tabular data manipul... | [
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### Model Description
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### Model Description
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* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-bloom-1b7 | null | [
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text-generation | null | # TinyLlama-1.1B-Chat-v1.0-Colorist
This is a trained test chatbot model for learning using [burkelibbey/colors](https://huggingface.co/datasets/burkelibbey/colors) dataset.
### Intended uses & limitations
Chat about colors.
### Training data
[burkelibbey/colors](https://huggingface.co/datasets/burkelibbey/colors) d... | {"pipeline_tag": "text-generation"} | BrokenSoul/TinyLlama-1.1B-Chat-v1.0-Colorist | null | [
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| # TinyLlama-1.1B-Chat-v1.0-Colorist
This is a trained test chatbot model for learning using burkelibbey/colors dataset.
### Intended uses & limitations
Chat about colors.
### Training data
burkelibbey/colors dataset.
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-ollama-3b | null | [
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-downsampled-ollama-3b | null | [
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-ollama-7b | null | [
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-downsampled-ollama-7b | null | [
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-downsampled-ollama-13b | null | [
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-pythia-70m | null | [
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-downsampled-pythia-70m | null | [
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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#### Instruction tuning details
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null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-pythia-160m | null | [
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-downsampled-pythia-160m | null | [
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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* Paper
#### Instruction tuning details
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-pythia-410m | null | [
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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* Paper
#### Instruction tuning details
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null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-downsampled-pythia-410m | null | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: EleutherAI/pythia-410m-deduped
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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?"}]}]} | ArmurAI/solana_smart_contract_auditor | null | [
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"conversational",
"license:other",
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"region:us"
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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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] |
null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-pythia-1b | null | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: EleutherAI/pythia-1b-deduped
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null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-downsampled-pythia-1b | null | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: EleutherAI/pythia-1b-deduped
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null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-pythia-1b4 | null | [
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] | null | 2024-04-04T22:48:29+00:00 | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: EleutherAI/pythia-1.4b-deduped
* Instruction tuning language:... | [
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null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-downsampled-pythia-1b4 | null | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: EleutherAI/pythia-1.4b-deduped
* Instruction tuning language:... | [
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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="Floweii/DRL-unit2-taxi-Qlearning", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippe... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "DRL-unit2-taxi-Qlearning", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "v... | Floweii/DRL-unit2-taxi-Qlearning | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-04T22:48:40+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-pythia-2b8 | null | [
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"es",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-04T22:48:47+00:00 | [
"2309.08958"
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] | TAGS
#generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: EleutherAI/pythia-2.8b-deduped
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null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-downsampled-pythia-2b8 | null | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: EleutherAI/pythia-2.8b-deduped
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null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | pinzhenchen/sft-lora-multilingual-pythia-6b9 | null | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: EleutherAI/pythia-6.9b-deduped
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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": []} | utahnlp/imdb_gpt2-large_seed-2 | null | [
"transformers",
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"gpt2",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T22:49:16+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-classification #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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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
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null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with LoRA and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
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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. -->
# trainer_2f
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "trainer_2f", "results": []}]} | SimoneJLaudani/trainer_2f | null | [
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| trainer\_2f
===========
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6467
* Precision: 0.8276
* Recall: 0.8207
* F1: 0.8208
* Accuracy: 0.8207
Model description
-----------------
More information needed
In... | [
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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. -->
# albert-xxlarge-v2-disaster-twitter-preprocess_data
This model is a fine-tuned version of [albert-xxlarge-v2](https://huggingface... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "albert-xxlarge-v2", "model-index": [{"name": "albert-xxlarge-v2-disaster-twitter-preprocess_data", "results": []}]} | JiaJiaCen/albert-xxlarge-v2-disaster-twitter-preprocess_data | null | [
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| albert-xxlarge-v2-disaster-twitter-preprocess\_data
===================================================
This model is a fine-tuned version of albert-xxlarge-v2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4819
* F1: 0.7818
Model description
-----------------
More infor... | [
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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": []} | utahnlp/imdb_gpt2-large_seed-3 | 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": []} | tomaszki/mistral-21-b | 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. -->
# T5-PEFT-3
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "t5-base", "model-index": [{"name": "T5-PEFT-3", "results": []}]} | jgibb/T5-PEFT-3 | null | [
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| T5-PEFT-3
=========
This model is a fine-tuned version of t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1705
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Train... | [
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text-generation | gguf | **2024-04-09**: Support for this model has been merged into the main branch.
[Pull request `PR #6491`](https://github.com/ggerganov/llama.cpp/pull/6491)
[Commit `5dc9dd71`](https://github.com/ggerganov/llama.cpp/commit/5dc9dd7152dedc6046b646855585bd070c91e8c8)
Noeda's fork will not work with these weights, you wi... | {"license": "cc-by-nc-4.0", "library_name": "gguf", "pipeline_tag": "text-generation", "base_model": "CohereForAI/c4ai-command-r-plus"} | dranger003/c4ai-command-r-plus-iMat.GGUF | null | [
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| 2024-04-09: Support for this model has been merged into the main branch.
Pull request 'PR #6491'
Commit '5dc9dd71'
Noeda's fork will not work with these weights, you will need the main branch of URL.
NOTE: Do not concatenate splits (or chunks) - you need to use 'gguf-split' to merge files if you need to (mos... | [] | [
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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. -->
# phi-1_5-finetuned-aqua-rat-AM-2k-lora-alpha-32
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-2k-lora-alpha-32", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-2k-lora-alpha-32 | null | [
"peft",
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"safetensors",
"generated_from_trainer",
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"license:mit",
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|
# phi-1_5-finetuned-aqua-rat-AM-2k-lora-alpha-32
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### ... | [
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text-to-image | diffusers | Model info: (840000VAE baked)
https://civitai.com/models/44341/whitedreamyhillmix
Author's civitai.com page:
https://civitai.com/user/newlifezfztty761
Sample image:
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URL
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URL
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!URL
if you want No VAE version, pls click here:
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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": []} | utahnlp/imdb_gpt2-xl_seed-1 | null | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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text-generation | transformers | <!-- header start -->
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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": []} | Tonita/upwork.freelancerspilot.retrieval_tagging.lora.lr2e4.batch4.gradacc4.linearlr.10epoch.merged | null | [
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text-classification | transformers |
# Model Card for Model ID
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null | null |
## MiquMaid v3
Check out our blogpost about this model series [Here!](https://ikaridevgit.github.io/index.html?blog=blogid-6&bo=true#Miqu-base) - Join our Discord server [Here!](https://discord.gg/Bb8pRUXy3Z)
<center><div style="width: 100%;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63ab1... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw", "merge"]} | NeverSleep/MiquMaid-v3-70B-GGUF | null | [
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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": []} | utahnlp/imdb_gpt2-xl_seed-3 | null | [
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text-generation | transformers |
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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text2text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
# TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
| **[Paper](https://arxiv.org/abs/2403.19318)** | **[Training set](https://huggingface.co/datasets/RUCKBReasoning/TableLLM-SFT)** | **[Github](https://github.com/TableLLM/TableLLM)** | **[Homepage](https://tablellm.github.io/)** | *... | {"language": ["en"], "license": "llama2", "tags": ["Table", "QA", "Code"], "datasets": ["RUCKBReasoning/TableLLM-SFT"]} | blockblockblock/TableLLM-13b-bpw5.5 | null | [
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| TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
===================================================================================
| Paper | Training set | Github | Homepage | Platform |
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text-generation | transformers | <!-- header start -->
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text2text-generation | transformers |
# Model Card for Model ID
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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
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# Whisper base te - jayavardhan
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| Whisper base te - jayavardhan
=============================
This model is a fine-tuned version of openai/whisper-base on the fleurs dataset.
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* Wer: 70.4367
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-----------------
More information needed
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text2text-generation | transformers |
# Model Card for Model ID
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text2text-generation | transformers |
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text2text-generation | transformers |
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text-generation | transformers |
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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. -->
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text-generation | transformers | <!-- header start -->
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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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### Model Description
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text-generation | transformers |
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text2text-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 |
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text2text-generation | transformers |
# Model Card for Model ID
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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**
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text2text-generation | transformers |
# Model Card for Model ID
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"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. Thi... |
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