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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | manueldeprada/t5-base-pt-en | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-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 | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "llava-1.5-7b-hf-ft-mix-vsft", "results": []}]} | Kakapoor/llava-1.5-7b-hf-ft-mix-vsft | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:llava-hf/llava-1.5-7b-hf",
"region:us"
] | null | 2024-04-30T16:09:31+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-llava-hf/llava-1.5-7b-hf #region-us
|
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# khadija69/bert-finetuned-ner-bio_test
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) ... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "bert-base-cased", "model-index": [{"name": "khadija69/bert-finetuned-ner-bio_test", "results": []}]} | khadija69/bert-finetuned-ner-bio_test | null | [
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#transformers #tf #bert #token-classification #generated_from_keras_callback #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| khadija69/bert-finetuned-ner-bio\_test
======================================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.1506
* Validation Loss: 0.2840
* Epoch: 2
Model description
-----------------
More i... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 2e-05, 'decay\\_steps': 3480, 'end\\_learni... | [
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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. -->
# opus-mt-en-vi-finetuned-en-to-vi
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-vi](https://huggingface.co/Helsi... | {"license": "apache-2.0", "tags": ["opus-mt-en-vi", "generated_from_trainer"], "datasets": ["mt_eng_vietnamese"], "base_model": "Helsinki-NLP/opus-mt-en-vi", "model-index": [{"name": "opus-mt-en-vi-finetuned-en-to-vi", "results": []}]} | lmh2011/marianMT-finetuned-en-vi | null | [
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"base_model:Helsinki-NLP/opus-mt-en-vi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T16:10:41+00:00 | [] | [] | TAGS
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| opus-mt-en-vi-finetuned-en-to-vi
================================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-vi on the mt\_eng\_vietnamese dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
T... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
"### Traini... | [
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null | null |
# llm-jp-13b-v2.0-gguf
[llm-jpさんが公開しているllm-jp-13b-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-v2.0)のggufフォーマット変換版です。
モデル一覧
GGUF V2.0系
[mmnga/llm-jp-13b-v2.0-gguf](https://huggingface.co/mmnga/llm-jp-13b-v2.0-gguf)
[mmnga/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-g... | {"language": ["en", "ja"], "license": "apache-2.0", "tags": ["llama"]} | mmnga/llm-jp-13b-v2.0-gguf | null | [
"gguf",
"llama",
"en",
"ja",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T16:10:48+00:00 | [] | [
"en",
"ja"
] | TAGS
#gguf #llama #en #ja #license-apache-2.0 #region-us
|
# llm-jp-13b-v2.0-gguf
llm-jpさんが公開しているllm-jp-13b-v2.0のggufフォーマット変換版です。
モデル一覧
GGUF V2.0系
mmnga/llm-jp-13b-v2.0-gguf
mmnga/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf
mmnga/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf
mmn... | [
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null | null |
# llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf
[llm-jpさんが公開しているllm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0)のggufフォーマット変換... | {"language": ["en", "ja"], "license": "apache-2.0", "tags": ["llama"]} | mmnga/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf | null | [
"gguf",
"llama",
"en",
"ja",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T16:11:11+00:00 | [] | [
"en",
"ja"
] | TAGS
#gguf #llama #en #ja #license-apache-2.0 #region-us
|
# llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf
llm-jpさんが公開しているllm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0のggufフォーマット変換版です。
モデル一覧
GGUF V2.0系
mmnga/llm-jp-13b-v2.0-gguf
mmnga/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_0... | [
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"# llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf\nllm-jpさんが公開しているllm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0のggufフォーマット変換版です。 \n\nモデル一覧 \n\nGGUF V2.0系 \nmmnga/llm-j... | [
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null | null |
# llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf
[llm-jpさんが公開しているllm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0)のggufフォーマット変換版です。
モデル一... | {"language": ["en", "ja"], "license": "apache-2.0", "tags": ["llama"]} | mmnga/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf | null | [
"gguf",
"llama",
"en",
"ja",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T16:11:28+00:00 | [] | [
"en",
"ja"
] | TAGS
#gguf #llama #en #ja #license-apache-2.0 #region-us
|
# llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf
llm-jpさんが公開しているllm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0のggufフォーマット変換版です。
モデル一覧
GGUF V2.0系
mmnga/llm-jp-13b-v2.0-gguf
mmnga/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_s... | [
"# llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf\nllm-jpさんが公開しているllm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0のggufフォーマット変換版です。 \n\nモデル一覧 \n\nGGUF V2.0系 \nmmnga/llm-jp-13b-v2.0-gguf \nmmnga/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikar... | [
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"# llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf\nllm-jpさんが公開しているllm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0のggufフォーマット変換版です。 \n\nモデル一覧 \n\nGGUF V2.0系 \nmmnga/llm-jp-13b-v2... | [
24,
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"TAGS\n#gguf #llama #en #ja #license-apache-2.0 #region-us \n# llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf\nllm-jpさんが公開しているllm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0のggufフォーマット変換版です。 \n\nモデル一覧 \n\nGGUF V2.0系 \nmmnga/llm-jp-13b-v2.0-ggu... |
null | null |
# Meliodaspercival_01_experiment26t3qStrangemerges_32-7B
Meliodaspercival_01_experiment26t3qStrangemerges_32-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: Ma... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Meliodaspercival_01_experiment26t3qStrangemerges_32-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T16:11:44+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Meliodaspercival_01_experiment26t3qStrangemerges_32-7B
Meliodaspercival_01_experiment26t3qStrangemerges_32-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
| [
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"## Usage"
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] |
null | null |
# llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf
[llm-jpさんが公開しているllm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0)のggufフォーマット変換版です。
モデル一覧
GGUF V2.0系
[mm... | {"language": ["en", "ja"], "license": "apache-2.0", "tags": ["llama"]} | mmnga/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf | null | [
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#gguf #llama #en #ja #license-apache-2.0 #region-us
|
# llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-gguf
llm-jpさんが公開しているllm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0のggufフォーマット変換版です。
モデル一覧
GGUF V2.0系
mmnga/llm-jp-13b-v2.0-gguf
mmnga/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oa... | [
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null | peft | ## Training procedure
### Framework versions
- PEFT 0.4.0
| {"library_name": "peft"} | azmeena1311/distilbert-base-uncased-lora-spam-text-classification | null | [
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#peft #region-us
| ## Training procedure
### Framework versions
- PEFT 0.4.0
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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": []} | sriyaseshadri/gemma-essay-finetune | null | [
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# Model Card for Model ID
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image-to-text | transformers |
# **csg-wukong-1B-VL-v0.1** [[中文]](#chinese) [[English]](#english)
<a id="english"></a>
<p align="center">
<img width="900px" alt="OpenCSG" src="./csg-wukong-logo-green.jpg">
</p>
<p align="center"><a href="https://opencsg.com/models">[OpenCSG Community]</a> <a href="https://github.com/opencsgs">[gi... | {"language": ["en"], "license": "apache-2.0", "tags": ["code"], "pipeline_tag": "image-to-text"} | opencsg/csg-wukong-1B-VL-v0.1 | null | [
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|
# csg-wukong-1B-VL-v0.1 [[中文]](#chinese) [[English]](#english)
<a id="english"></a>
<p align="center">
<img width="900px" alt="OpenCSG" src="./URL">
</p>
<p align="center"><a href="URL Community]</a> <a href="URL <a href="URL <a href="URL </p>
</div>
OpenCSG stands for Converged resources, Softw... | [
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fill-mask | transformers |
# Phobert Base model with Legal domain
**Experiment performed with Transformers version 4.38.2**\
Vi-Legal-PhoBert model for Legal domain based on [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2), then continued MLM pretraining for 154600 steps with token-level on [Legal Corpus](https://huggingfac... | {"language": ["vi"], "license": "apache-2.0", "library_name": "transformers", "tags": ["legal", "roberta", "phobert"], "datasets": ["NghiemAbe/Legal-corpus-indexing"], "widget": [{"text": "M\u1ee5c 3a . Ki\u1ec3m_\u0111\u1ecbnh ch\u1ea5t_l\u01b0\u1ee3ng gi\u00e1o_d\u1ee5c <mask> 110a . N\u1ed9i_dung qu\u1ea3n_l\u00fd n... | NghiemAbe/Vi-Legal-PhoBert | null | [
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| Phobert Base model with Legal domain
====================================
Experiment performed with Transformers version 4.38.2
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | SoulTest/llama3-8b-finetune | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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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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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": []} | Madhumita19/finetuned_Mistral_newmodel | 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. -->
# emotion
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achiev... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "emotion", "results": []}]} | pheonixnrj/emotion | null | [
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| emotion
=======
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1934
* Accuracy: 0.9463
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informat... | [
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text-generation | keras-nlp | Gemma fine-tuned to speak like a pirate.
This is a [`Gemma` model](https://keras.io/api/keras_nlp/models/gemma) uploaded using the KerasNLP library and can be used with JAX, TensorFlow, and PyTorch backends.
This model is related to a `CausalLM` task.
Model config:
* **name:** gemma_backbone
* **trainable:** True
* **... | {"library_name": "keras-nlp", "pipeline_tag": "text-generation"} | martin-gorner/gemma_pirate_instruct_7b-keras | null | [
"keras-nlp",
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#keras-nlp #text-generation #region-us
| Gemma fine-tuned to speak like a pirate.
This is a 'Gemma' model uploaded using the KerasNLP library and can be used with JAX, TensorFlow, and PyTorch backends.
This model is related to a 'CausalLM' task.
Model config:
* name: gemma_backbone
* trainable: True
* vocabulary_size: 256000
* num_layers: 28
* num_query_head... | [] | [
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null | null | LoRA adapter based on GradientAI's 1M context Llama-3 8B Instruct finetune. I found that rank 1024 is not sufficient to capture the delta weights in the q_proj and o_proj, so I've created seperate adapters for those modules vs the k-v projection modules. | {} | winglian/llama-3-gradientai-1m-split | null | [
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text-generation | transformers | ## Model Details
### Model Description
The willieseun/Enron-Mixral-8x7b-instruct model is a large-scale language model based on the Mixtral architecture, fine-tuned specifically for email generation using the Enron dataset. This model is designed to generate coherent and contextually appropriate text, particularly su... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["NLP", "Text Generation", "Fine-tuning", "Language Model"], "pipeline_tag": "text-generation"} | willieseun/Enron-Mixral-8x7b-instruct | null | [
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| ## Model Details
### Model Description
The willieseun/Enron-Mixral-8x7b-instruct model is a large-scale language model based on the Mixtral architecture, fine-tuned specifically for email generation using the Enron dataset. This model is designed to generate coherent and contextually appropriate text, particularly su... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ylacombe/parler-tts-mini-Jenny-colab | null | [
"transformers",
"safetensors",
"parler_tts",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T16:25:51+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #parler_tts #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
model = load_from_hub(repo_id="Novski/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add addit... | {"tags": ["FrozenLake-v1-4x4", "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", "type": "FrozenLake-v1-4x4"}, "m... | Novski/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-30T16:29:07+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
model = load_from_hub(repo_id="Novski/q-FrozenLake-v1-4x4-noSlippery", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippe... | [
"# Q-Learning Agent playing1 FrozenLake-v1\r\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\r\n\r\n ## Usage\r\n\r\n model = load_from_hub(repo_id=\"Novski/q-FrozenLake-v1-4x4-noSlippery\", filename=\"URL\")\r\n\r\n # Don't forget to check if you need to add additional attri... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/CarrotAI/OpenCarrot-llama3-Mix-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do no... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "CarrotAI/OpenCarrot-llama3-Mix-8B", "quantized_by": "mradermacher"} | mradermacher/OpenCarrot-llama3-Mix-8B-GGUF | null | [
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"base_model:CarrotAI/OpenCarrot-llama3-Mix-8B",
"license:llama3",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T16:29:29+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-CarrotAI/OpenCarrot-llama3-Mix-8B #license-llama3 #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 #mergekit #merge #en #base_model-CarrotAI/OpenCarrot-llama3-Mix-8B #license-llama3 #endpoints_compatible #region-us \n"
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] |
null | null |
# itayl/dictalm2.0-1yam-peleg-Mistral-instruct-Merge-Q5_K_M-GGUF
This model was converted to GGUF format from [`itayl/dictalm2.0-1yam-peleg-Mistral-instruct-Merge`](https://huggingface.co/itayl/dictalm2.0-1yam-peleg-Mistral-instruct-Merge) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/... | {"tags": ["merge", "mergekit", "lazymergekit", "yam-peleg/Hebrew-Mistral-7B", "dicta-il/dictalm2.0-instruct", "llama-cpp", "gguf-my-repo"], "base_model": ["yam-peleg/Hebrew-Mistral-7B", "dicta-il/dictalm2.0-instruct"]} | itayl/dictalm2.0-1yam-peleg-Mistral-instruct-Merge-Q5_K_M-GGUF | null | [
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"merge",
"mergekit",
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"base_model:yam-peleg/Hebrew-Mistral-7B",
"base_model:dicta-il/dictalm2.0-instruct",
"region:us"
] | null | 2024-04-30T16:29:48+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #yam-peleg/Hebrew-Mistral-7B #dicta-il/dictalm2.0-instruct #llama-cpp #gguf-my-repo #base_model-yam-peleg/Hebrew-Mistral-7B #base_model-dicta-il/dictalm2.0-instruct #region-us
|
# itayl/dictalm2.0-1yam-peleg-Mistral-instruct-Merge-Q5_K_M-GGUF
This model was converted to GGUF format from 'itayl/dictalm2.0-1yam-peleg-Mistral-instruct-Merge' 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.
Inv... | [
"# itayl/dictalm2.0-1yam-peleg-Mistral-instruct-Merge-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'itayl/dictalm2.0-1yam-peleg-Mistral-instruct-Merge' 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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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | Ferocious0xide/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-30T16:31:01+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-pixel_copter-001", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopt... | Edgar404/Reinforce-pixel_copter-001 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-30T16:31:43+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the De... |
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": ["trl", "sft"]} | EdBerg/mistral_b_finance_finetuned_test | null | [
"transformers",
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"trl",
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T16:32:07+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #trl #sft #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# final-ft__beto-clinical-wl-es__70k-ultrasounds
This model is a fine-tuned version of [plncmm/beto-clinical-wl-es](https://huggin... | {"tags": ["generated_from_trainer"], "base_model": "plncmm/beto-clinical-wl-es", "model-index": [{"name": "final-ft__beto-clinical-wl-es__70k-ultrasounds", "results": []}]} | manucos/final-ft__beto-clinical-wl-es__70k-ultrasounds | null | [
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"safetensors",
"bert",
"fill-mask",
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"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #bert #fill-mask #generated_from_trainer #base_model-plncmm/beto-clinical-wl-es #autotrain_compatible #endpoints_compatible #region-us
| final-ft\_\_beto-clinical-wl-es\_\_70k-ultrasounds
==================================================
This model is a fine-tuned version of plncmm/beto-clinical-wl-es on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5271
Model description
-----------------
More information... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | adrianmedinav/whisper-large-v3_ro_epochs_1_2024-04-30_15-16-50 | null | [
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"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T16:34:54+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# VILA Model Card
## Model details
**Model type:**
VILA is a visual language model (VLM) pretrained with interleaved image-text data at scale, enabling multi-image VLM. VILA is deployable on the edge, including Jetson Orin and laptop by AWQ 4bit quantization through TinyChat framework. We find: (1) image-text pairs ... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["VILA", "VLM"], "pipeline_tag": "text-generation"} | Efficient-Large-Model/VILA1.5-40b | null | [
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"safetensors",
"llava_llama",
"VILA",
"VLM",
"text-generation",
"arxiv:2312.07533",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T16:35:36+00:00 | [
"2312.07533"
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#transformers #safetensors #llava_llama #VILA #VLM #text-generation #arxiv-2312.07533 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
|
# VILA Model Card
## Model details
Model type:
VILA is a visual language model (VLM) pretrained with interleaved image-text data at scale, enabling multi-image VLM. VILA is deployable on the edge, including Jetson Orin and laptop by AWQ 4bit quantization through TinyChat framework. We find: (1) image-text pairs are ... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | AlkQ/ppo-LunarLander-v2 | null | [
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** Cognitus-Stuti
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "orpo"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Cognitus-Stuti/llama3-8b-orpo-unsloth-merged_v2 | null | [
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|
# Uploaded model
- Developed by: Cognitus-Stuti
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | Ferocious0xide/ppo-LunarLander-v2.1 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
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"model-index",
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-generation | transformers |
# Model Card 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": []} | pbelcak/gemma_2b_pmc_short7 | null | [
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#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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. -->
# pegasus-samsum
This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_da... | {"tags": ["generated_from_trainer"], "base_model": "google/pegasus-cnn_dailymail", "model-index": [{"name": "pegasus-samsum", "results": []}]} | Arjun9/pegasus-samsum | null | [
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"region:us"
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| pegasus-samsum
==============
This model is a fine-tuned version of google/pegasus-cnn\_dailymail on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4833
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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null | transformers |
# Uploaded model
- **Developed by:** Cognitus-Stuti
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Cognitus-Stuti/llama3-8b-orpo-unsloth_v2 | null | [
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|
# Uploaded model
- Developed by: Cognitus-Stuti
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Model Card
<p align="center">
<img src="./icon.png" alt="Logo" width="350">
</p>
📖 [Technical report](https://arxiv.org/abs/2402.11530) | 🏠 [Code](https://github.com/BAAI-DCAI/Bunny) | 🐰 [Demo](https://wisemodel.cn/spaces/baai/Bunny)
This is Bunny-v1.0-4B.
Bunny is a family of lightweight but powerful multi... | {"license": "apache-2.0", "inference": false} | BAAI/Bunny-v1_0-4B | null | [
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| Model Card
==========
Technical report | Code | Demo
This is Bunny-v1.0-4B.
Bunny is a family of lightweight but powerful multimodal models. It offers multiple plug-and-play vision encoders, like EVA-CLIP, SigLIP and language backbones, including Phi-3-mini, Llama-3-8B, Phi-1.5, StableLM-2 and ... | [] | [
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text-generation | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/FallenMerick/Smart-Lemon-Cookie-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge", "mistral", "text-generation"], "base_model": "FallenMerick/Smart-Lemon-Cookie-7B", "quantized_by": "mradermacher"} | mradermacher/Smart-Lemon-Cookie-7B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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-student_two_classes
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-win... | {"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-student_two_classes", "results": [{"task": {"type": "image-classification", "name":... | system-admin/swin-tiny-patch4-window7-224-finetuned-student_two_classes | null | [
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"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T16:44:29+00:00 | [] | [] | TAGS
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| swin-tiny-patch4-window7-224-finetuned-student\_two\_classes
============================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6649
* Accuracy: 0.8
... | [
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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_viet_poem_generation
This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-com... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "openai-community/gpt2-medium", "model-index": [{"name": "gpt2_viet_poem_generation", "results": []}]} | duydatnguyen/gpt2_viet_poem_generation | null | [
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| gpt2\_viet\_poem\_generation
============================
This model is a fine-tuned version of openai-community/gpt2-medium on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4415
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 200\n* mixed\\_pr... | [
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null | null |
based on [TheBloke/X-MythoChronos-13B-GGUF](https://huggingface.co/TheBloke/X-MythoChronos-13B-GGUF)
only keep q_4 format | {"license": "llama2"} | afpro/X-MythoChronos-13B-GGUF | null | [
"gguf",
"license:llama2",
"region:us"
] | null | 2024-04-30T16:46:35+00:00 | [] | [] | TAGS
#gguf #license-llama2 #region-us
|
based on TheBloke/X-MythoChronos-13B-GGUF
only keep q_4 format | [] | [
"TAGS\n#gguf #license-llama2 #region-us \n"
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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-scam-classification-fine-tuned-elder
This model is a fine-tuned version of [BothBosu/distilbert-scam-classification-v... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "BothBosu/distilbert-scam-classification-v1", "model-index": [{"name": "distilbert-scam-classification-fine-tuned-elder", "results": []}]} | autobio/distilbert-scam-classification-fine-tuned-elder | null | [
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"license:apache-2.0",
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| distilbert-scam-classification-fine-tuned-elder
===============================================
This model is a fine-tuned version of BothBosu/distilbert-scam-classification-v1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6626
* Accuracy: 0.925
* Precision: 0.8889
* Recall... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.004\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 200",
"### ... | [
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text-generation | transformers |
# Dolphin 2.9 Llama 3 8b 1m 🐬
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: https://discord.gg/8fbBeC7ZGx
<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" />
This versio... | {"license": "other", "tags": ["generated_from_trainer", "axolotl"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-wo... | cognitivecomputations/dolphin-2.9-llama3-8b-1m | null | [
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"da... | null | 2024-04-30T16:48:10+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #generated_from_trainer #axolotl #conversational #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #... | Dolphin 2.9 Llama 3 8b 1m
=========================
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: URL
<img src="URL width="600" />
This version of Dolphin has a 1 million token context. I have applied 'winglian/llama-3-1m-context-gradient-lora' -... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 96\n*... | [
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text-generation | transformers | # [MaziyarPanahi/LlaMAndement-7b-GGUF](https://huggingface.co/MaziyarPanahi/LlaMAndement-7b-GGUF)
- Model creator: [AgentPublic](https://huggingface.co/AgentPublic)
- Original model: [AgentPublic/LlaMAndement-7b](https://huggingface.co/AgentPublic/LlaMAndement-7b)
## Description
[MaziyarPanahi/LlaMAndement-7b-GGUF](ht... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "llama", "llama-2", "text-generation"], "model_name": "LlaMAndement-7b-GGUF", "base_model": "AgentPublic/LlaMAndement-7b", "inference": false, "model_creator": "AgentPublic", "pipeline_tag": "text-generation", "quant... | MaziyarPanahi/LlaMAndement-7b-GGUF | null | [
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"llama",
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"base_model:AgentPublic/LlaMAndement-7b",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T16:48:19+00:00 | [] | [] | TAGS
#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #text-generation #llama #llama-2 #base_model-AgentPublic/LlaMAndement-7b #text-generation-inference #region-us
| # MaziyarPanahi/LlaMAndement-7b-GGUF
- Model creator: AgentPublic
- Original model: AgentPublic/LlaMAndement-7b
## Description
MaziyarPanahi/LlaMAndement-7b-GGUF contains GGUF format model files for AgentPublic/LlaMAndement-7b.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. It is... | [
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audio-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. -->
# distilhubert-finetuned-speech_commands
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["speech-commands"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-speech_commands", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "datase... | imrajeshkr/distilhubert-finetuned-speech_commands | null | [
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"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T16:49:01+00:00 | [] | [] | TAGS
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| distilhubert-finetuned-speech\_commands
=======================================
This model is a fine-tuned version of ntu-spml/distilhubert on the Speech\_command\_RK dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1895
* Accuracy: 0.9976
Model description
-----------------
More info... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 264\n* eval\\_batch\\_size: 264\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\\_rat... | [
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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": []} | nem012/gemma2b-1e-5r1 | null | [
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"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-30T16:50:18+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #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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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-cartpole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | Zan135/Reinforce-cartpole-v1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-30T16:50:20+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Lear... |
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. -->
# TempReason-L1
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-han... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["EllieS/TempReason-L1"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "TempReason-L1", "results": []}]} | EllieS/TempReason-L1 | null | [
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"trl",
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"dataset:EllieS/TempReason-L1",
"base_model:alignment-handbook/zephyr-7b-sft-full",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T16:50:46+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #mistral #alignment-handbook #trl #sft #generated_from_trainer #dataset-EllieS/TempReason-L1 #base_model-alignment-handbook/zephyr-7b-sft-full #license-apache-2.0 #region-us
| TempReason-L1
=============
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the EllieS/TempReason-L1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2934
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n... | [
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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. -->
# tulu2-13b-cost-UI-UF-5e-7
This model is a fine-tuned version of [allenai/tulu-2-13b](https://huggingface.co/allenai/tulu-2-13b) ... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-13b", "model-index": [{"name": "tulu2-13b-cost-UI-UF-5e-7", "results": []}]} | just1nseo/tulu2-13b-cost-UI-UF-5e-7 | null | [
"peft",
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"trl",
"dpo",
"generated_from_trainer",
"base_model:allenai/tulu-2-13b",
"region:us"
] | null | 2024-04-30T16:53:04+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-allenai/tulu-2-13b #region-us
| tulu2-13b-cost-UI-UF-5e-7
=========================
This model is a fine-tuned version of allenai/tulu-2-13b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6919
* Rewards/chosen: 0.0201
* Rewards/rejected: 0.0163
* Rewards/accuracies: 0.5695
* Rewards/margins: 0.0038
* Rewar... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n*... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-student_six_classes-finetuned-student_six_classes
This model is a fine-tuned version of [... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "NiharGupte/swin-tiny-patch4-window7-224-finetuned-student_six_classes", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-student_six_classes-finetuned-student_six_classes", ... | system-admin/swin-tiny-patch4-window7-224-finetuned-student_six_classes-finetuned-student_six_classes | null | [
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"license:apache-2.0",
"model-index",
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"endpoints_compatible"... | null | 2024-04-30T16:53:09+00:00 | [] | [] | TAGS
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| swin-tiny-patch4-window7-224-finetuned-student\_six\_classes-finetuned-student\_six\_classes
============================================================================================
This model is a fine-tuned version of NiharGupte/swin-tiny-patch4-window7-224-finetuned-student\_six\_classes on the imagefolder dat... | [
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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": []} | saadliaquat19/Llama-3-Patient-Doctor | null | [
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# Model Card for Model ID
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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. -->
# Zaligner-v1
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "Zaligner-v1", "results": []}]} | Ksgk-fy/Zaligner-v1 | null | [
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|
# Zaligner-v1
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamete... | [
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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. -->
# tulu2-13b-cost-UI-UF-HHRLHF-5e-7
This model is a fine-tuned version of [allenai/tulu-2-13b](https://huggingface.co/allenai/tulu-... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-13b", "model-index": [{"name": "tulu2-13b-cost-UI-UF-HHRLHF-5e-7", "results": []}]} | just1nseo/tulu2-13b-cost-UI-UF-HHRLHF-5e-7 | null | [
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| tulu2-13b-cost-UI-UF-HHRLHF-5e-7
================================
This model is a fine-tuned version of allenai/tulu-2-13b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6892
* Rewards/chosen: 0.0042
* Rewards/rejected: -0.0043
* Rewards/accuracies: 0.5820
* Rewards/margins:... | [
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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": []} | saadliaquat19/Llama-3-Patient-Doctor-2 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model 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?"}]}]} | nanxiz/autotrain-qg4sd-zaqzt | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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null | transformers |
# Uploaded model
- **Developed by:** Cognitus-Stuti
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Cognitus-Stuti/llama3-8b-orpo-unsloth_v2gguf | 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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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": []} | saadliaquat19/Llama-3-Patient-Doctor-3 | null | [
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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. -->
# flan-t5-base-imdb-text-classification
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "flan-t5-base-imdb-text-classification", "results": []}]} | amitku123/flan-t5-base-imdb-text-classification | null | [
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|
# flan-t5-base-imdb-text-classification
This model is a fine-tuned version of google/flan-t5-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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### Trainin... | [
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video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-numbers-augmented
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/M... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-numbers-augmented", "results": []}]} | latif98/videomae-base-finetuned-numbers-augmented | null | [
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| videomae-base-finetuned-numbers-augmented
=========================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1494
* Accuracy: 0.9559
* F1: 0.9562
* Precision: 0.9568
* Recall: 0.9565
Model ... | [
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null | null | # Abstract Art
Based on Frea Buckler’s artwork from her Instagram account (purposefully undertrained to be abstract and not infringe on the artist’s own work)
Author: Derrick Schultz | {"license": "mit", "tags": ["StyleGAN2-ada", "StyleGAN2", "GAN", "Autolume"]} | Autolume/FreaGAN | null | [
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#StyleGAN2-ada #StyleGAN2 #GAN #Autolume #license-mit #region-us
| # Abstract Art
Based on Frea Buckler’s artwork from her Instagram account (purposefully undertrained to be abstract and not infringe on the artist’s own work)
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text-generation | transformers |
# JSL-MedLlama-3-8B-v2.0
[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com)
This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/).
This model is available under a [CC-BY-NC-ND](https://creativecommons.org/lic... | {"license": "cc-by-nc-nd-4.0", "tags": ["llama-3-8b", "sft", "medical"], "base_model": ["meta-llama/Meta-Llama-3-8B"]} | johnsnowlabs/JSL-MedLlama-3-8B-v2.0 | null | [
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| JSL-MedLlama-3-8B-v2.0
======================
<img src="URL
This model is developed by John Snow Labs.
This model is available under a CC-BY-NC-ND license and must also conform to this Acceptable Use Policy. If you need to license this model for commercial use, please contact us at info@URL.
Usage
-----
Evalu... | [] | [
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text-generation | transformers |
# PULI LlumiX 32K instruct (6.74B billion parameter)
Intruct finetuned version of NYTK/PULI-LlumiX-32K.
## Training platform
[Lightning AI Studio](https://lightning.ai/studios) L4 GPU
## Hyper parameters
- Epoch: 3
- LoRA rank (r): 16
- LoRA alpha: 16
- Lr: 2e-4
- Lr scheduler: cosine
- Optimizer: adamw_8bit
- Wei... | {"language": ["hu", "en"], "license": "llama2", "tags": ["puli", "text-generation-inference", "transformers", "unsloth", "llama", "trl", "finetuned"], "datasets": ["boapps/alpaca-cleaned-gemini-hun-ratings"], "base_model": "NYTK/PULI-LlumiX-32K", "pipeline_tag": "text-generation"} | ariel-ml/PULI-LlumiX-instruct-32K-16bit | null | [
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|
# PULI LlumiX 32K instruct (6.74B billion parameter)
Intruct finetuned version of NYTK/PULI-LlumiX-32K.
## Training platform
Lightning AI Studio L4 GPU
## Hyper parameters
- Epoch: 3
- LoRA rank (r): 16
- LoRA alpha: 16
- Lr: 2e-4
- Lr scheduler: cosine
- Optimizer: adamw_8bit
- Weight decay: 0.01
## Dataset
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text-generation | transformers |
# Model Card for Model ID
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null | null | Number of experts present in the library: 8
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| e0 | phi-2 | sordonia/flan-10k-flat/None | skilled_lora |
| e1 | phi-2 | sordonia/flan-10k-flat/None | skilled_lora |
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null | transformers |
# PULI LlumiX 32K instruct LoRA adapter (6.74B billion parameter)
Intruct finetuned version of NYTK/PULI-LlumiX-32K.
## Training platform
[Lightning AI Studio](https://lightning.ai/studios) L4 GPU
## Hyper parameters
- Epoch: 3
- LoRA rank (r): 16
- LoRA alpha: 16
- Lr: 2e-4
- Lr scheduler: cosine
- Optimizer: ada... | {"language": ["hu", "en"], "license": "llama2", "tags": ["puli", "text-generation-inference", "transformers", "unsloth", "llama", "trl", "finetuned", "lora"], "datasets": ["boapps/alpaca-cleaned-gemini-hun-ratings"], "base_model": "NYTK/PULI-LlumiX-32K"} | ariel-ml/PULI-LlumiX-instruct-32K-lora | null | [
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|
# PULI LlumiX 32K instruct LoRA adapter (6.74B billion parameter)
Intruct finetuned version of NYTK/PULI-LlumiX-32K.
## Training platform
Lightning AI Studio L4 GPU
## Hyper parameters
- Epoch: 3
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- LoRA alpha: 16
- Lr: 2e-4
- Lr scheduler: cosine
- Optimizer: adamw_8bit
- Weight decay: 0.01
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - aimickey/alishemenu-sdv1-4-lora-v1
<Gallery />
## Model description
These are aimickey/alishem... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "menu images in the style... | aimickey/alishemenu-sdv1-4-lora-v1 | null | [
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|
# SDXL LoRA DreamBooth - aimickey/alishemenu-sdv1-4-lora-v1
<Gallery />
## 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. -->
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null | transformers |
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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. -->
# outputs
This model is a fine-tuned version of [Fawazzx/Saul-Instruct-v1_sharded](https://huggingface.co/Fawazzx/Saul-Instruct-v1... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "Fawazzx/Saul-Instruct-v1_sharded", "model-index": [{"name": "outputs", "results": []}]} | Fawazzx/outputs | null | [
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More information needed
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More information needed
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null | peft |
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# llama3-slerp-med
llama3-slerp-med is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [aaditya/Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B)
* [johnsnowlabs/JSL-MedLlama-3-8B-v1.0](https://hugg... | {"license": "llama3", "tags": ["merge", "mergekit", "lazymergekit", "aaditya/Llama3-OpenBioLLM-8B", "johnsnowlabs/JSL-MedLlama-3-8B-v1.0"], "base_model": ["aaditya/Llama3-OpenBioLLM-8B", "johnsnowlabs/JSL-MedLlama-3-8B-v1.0"]} | shanchen/llama3-slerp-med | null | [
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# llama3-slerp-med
llama3-slerp-med is a merge of the following models using LazyMergekit:
* aaditya/Llama3-OpenBioLLM-8B
* johnsnowlabs/JSL-MedLlama-3-8B-v1.0
## Configuration
## Usage
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video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-kinetics-finetuned-ucf101-subset
This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base-finetuned-kinetics", "model-index": [{"name": "videomae-base-finetuned-kinetics-finetuned-ucf101-subset", "results": []}]} | Abdullah1/videomae-base-finetuned-kinetics-finetuned-ucf101-subset | null | [
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| videomae-base-finetuned-kinetics-finetuned-ucf101-subset
========================================================
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1277
* Accuracy: 1.0
Model desc... | [
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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. -->
# platzi-vit-model-damian-r
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/googl... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "platzi-vit-model-damian-r", "results": []}]} | platzi/platzi-vit-model-damian-r | null | [
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| platzi-vit-model-damian-r
=========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0334
* Accuracy: 0.9850
Model description
-----------------
More information needed
Intended use... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ivillar/whisperfinetune | null | [
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null | peft | ## Training procedure
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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": []} | Thirawarit/openthaigpt-1.0.0-7b-chat-ft-by-Scamper | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | nessa01macias/gemma-2b_sustainability-qa | 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. -->
# NDD-mantisbt_test-content
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NDD-mantisbt_test-content", "results": []}]} | lgk03/NDD-mantisbt_test-content | null | [
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| NDD-mantisbt\_test-content
==========================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0915
* Accuracy: 0.9609
* F1: 0.9627
* Precision: 0.9667
* Recall: 0.9609
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": []} | HC-85/distilbert-arxiv-multilabel-b16-test | null | [
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text-generation | transformers |
# VILA Model Card
## Model details
**Model type:**
VILA is a visual language model (VLM) pretrained with interleaved image-text data at scale, enabling multi-image VLM. VILA is deployable on the edge, including Jetson Orin and laptop by AWQ 4bit quantization through TinyChat framework. We find: (1) image-text pairs ... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["VILA", "VLM"], "pipeline_tag": "text-generation"} | Efficient-Large-Model/VILA1.5-3b-s2 | null | [
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|
# VILA Model Card
## Model details
Model type:
VILA is a visual language model (VLM) pretrained with interleaved image-text data at scale, enabling multi-image VLM. VILA is deployable on the edge, including Jetson Orin and laptop by AWQ 4bit quantization through TinyChat framework. We find: (1) image-text pairs are ... | [
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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
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
torch.random.manual_seed(0)
model = AutoModelForCausalLM.from... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft", "Phi 3"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | styalai/competition-math-phinetune-v1 | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
# Info
Fine-tune from styalai/phi-ne-tuning-1-4 who it fine tune from phi-3
parameters of autotrain :
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null | null |
# Pokémon Klassifizierer
## Beschreibung
Dies ist eine einfache Machine Learning Anwendung, die Bilder von Pokémon klassifiziert. Lade ein Bild von einem der drei Pokémon Aerodactyl, Charizard oder Victreebel hoch, und die Anwendung wird dir mitteilen, um welches Pokémon es sich handelt und das Vertrauensniveau der V... | {"title": "Pok\u00e9mon Klassifizierer", "emoji": "\ud83d\udc22", "colorFrom": "pink", "colorTo": "green", "sdk": "gradio", "sdk_version": "4.28.3", "app_file": "app.py", "pinned": false} | anderni2/pokemon | null | [
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#region-us
|
# Pokémon Klassifizierer
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | aliaksei-kankou/t1 | null | [
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
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- bnb_4bit_quant_type: nf4
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ragab167/m2m_translation_v | 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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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. -->
# t5-small-finetuned-xsum
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["xsum"], "base_model": "t5-small", "model-index": [{"name": "t5-small-finetuned-xsum", "results": []}]} | phdreg/t5-small-finetuned-xsum | null | [
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| t5-small-finetuned-xsum
=======================
This model is a fine-tuned version of t5-small on the xsum dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
-----------------------... | [
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fil_b64_le5_s8000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "fil_b64_le5_s8000", "results": []}]} | mikhail-panzo/fil_b64_le5_s8000 | null | [
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| fil\_b64\_le5\_s8000
====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4119
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | martinsinnona/a | null | [
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"safetensors",
"pix2struct",
"text2text-generation",
"arxiv:1910.09700",
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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 |
<!-- 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. -->
# llama-7b-sft-DPO
This model is a fine-tuned version of [argsearch/llama-7b-sft-float32](https://huggingface.co/argsearch/llama-7... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["Dahoas/full-hh-rlhf"], "base_model": "argsearch/llama-7b-sft-float32", "model-index": [{"name": "llama-7b-sft-DPO", "results": []}]} | AmberYifan/llama-7b-sft-DPO | null | [
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... | null | 2024-04-30T17:39:41+00:00 | [] | [] | TAGS
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| llama-7b-sft-DPO
================
This model is a fine-tuned version of argsearch/llama-7b-sft-float32 on the Dahoas/full-hh-rlhf dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6525
* Rewards/chosen: 0.3315
* Rewards/rejected: 0.1953
* Rewards/accuracies: 0.6080
* Rewards/margins: 0.136... | [
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text-generation | transformers | # [MaziyarPanahi/Faust-GGUF](https://huggingface.co/MaziyarPanahi/Faust-GGUF)
- Model creator: [AgentPublic](https://huggingface.co/AgentPublic)
- Original model: [AgentPublic/Faust](https://huggingface.co/AgentPublic/Faust)
## Description
[MaziyarPanahi/Faust-GGUF](https://huggingface.co/MaziyarPanahi/Faust-GGUF) con... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "llama", "llama-2", "text-generation"], "model_name": "Faust-GGUF", "base_model": "AgentPublic/Faust", "inference": false, "model_creator": "AgentPublic", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPa... | MaziyarPanahi/Faust-GGUF | null | [
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#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #text-generation #llama #llama-2 #base_model-AgentPublic/Faust #text-generation-inference #region-us
| # MaziyarPanahi/Faust-GGUF
- Model creator: AgentPublic
- Original model: AgentPublic/Faust
## Description
MaziyarPanahi/Faust-GGUF contains GGUF format model files for AgentPublic/Faust.
### 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 lon... | [
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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
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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 generate... | {"library_name": "transformers", "tags": []} | tminh/SeaLLM-7B-v2.5-vi-pubmed-GPTQ | null | [
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text-generation | transformers | <img src="./contrail_logo.svg" width="100%" height="10%" alt="">
# Description
# 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 mode... | {"language": ["ja", "en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["sudy-super/JetCopper-10B"]} | sudy-super/contrail-190m-64k | null | [
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null | transformers |
# Model Card for Model ID
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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. -->
# shawgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | pranavGenAI/shawgpt-ft | null | [
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| shawgpt-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
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* Loss: 2.6818
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | huiang/model_sentiment140 | null | [
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# Model Card for Model ID
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fil_b64_le4_s8000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "fil_b64_le4_s8000", "results": []}]} | mikhail-panzo/fil_b64_le4_s8000 | null | [
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| fil\_b64\_le4\_s8000
====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
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-----------------
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-----------------------... | [
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fill-mask | transformers |
# C-BERT MLM
## Exploring Software Naturalness through Neural Language Models
## Overview
This model is the unofficial HuggingFace version of "[C-BERT](http://arxiv.org/abs/2302.04026)" with just the masked language modeling head for pretraining. The weights come from "[An Empirical Comparison of Pre-Trained Models o... | {"license": "mit", "tags": ["code"], "arxiv": 2302.04026, "pipeline_tag": "fill-mask"} | claudios/cbert | null | [
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## Exploring Software Naturalness through Neural Language Models
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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": []} | pranavGenAI/ESG_RFP_Chat | null | [
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null | transformers | ## About
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-----
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If you are unsure how to use GGUF files, refer to one of TheBloke's
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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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"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
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. -->
# vit-base-patch16-224-finetuned-eurosat
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-patch16-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "data... | pk3388/vit-base-patch16-224-finetuned-eurosat | null | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:google/vit-base-patch16-224",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T17:52:15+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #dataset-imagefolder #base_model-google/vit-base-patch16-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| vit-base-patch16-224-finetuned-eurosat
======================================
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7387
* Accuracy: 0.7947
Model description
-----------------
More informat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsil... | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #dataset-imagefolder #base_model-google/vit-base-patch16-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparamete... | [
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"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #dataset-imagefolder #base_model-google/vit-base-patch16-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters wer... |
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