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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": []} | Ritik55/idefics-mscoco-captioner | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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text-generation | transformers |
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
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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. -->
# enbnsumm-mT5-XLSumm
This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/... | {"language": ["en"], "tags": ["generated_from_trainer"], "base_model": "csebuetnlp/mT5_multilingual_XLSum", "model-index": [{"name": "enbnsumm-mT5-XLSumm", "results": []}]} | balaramas/enbnsumm-mT5-XLSumm | null | [
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|
# enbnsumm-mT5-XLSumm
This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-generation | transformers |
# 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": []} | JFernandoGRE/mistral_7b_augmenteddemocracy_dups_all2_75 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** Hungry-Socrates
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | Hungry-Socrates/Technical_Analysis_Unsloth_v4 | null | [
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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. -->
# checkpoint-194-5ep3bsfrmulti3
This model was trained from scratch on an unknown dataset.
It achieves the following results on th... | {"tags": ["generated_from_trainer"], "metrics": ["recall", "precision", "f1"], "model-index": [{"name": "checkpoint-194-5ep3bsfrmulti3", "results": []}]} | Myaukko/checkpoint-194-5ep3bsfrmulti3 | null | [
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| checkpoint-194-5ep3bsfrmulti3
=============================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1347
* Recall: 0.9355
* Precision: 0.9355
* F1: 0.9355
* Roc Auc: 0.9702
Model description
-----------------
More information ... | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-200K-bpw3.7 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
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text-generation | transformers |
# NeuralCeptrix-7B-slerp
NeuralCeptrix-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [CultriX/NeuralCeptrix-7B-SLERP](https://huggingface.co/CultriX/NeuralCeptrix-7B-SLERP)
* [yam-peleg/Experiment22-7B](https:... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "CultriX/NeuralCeptrix-7B-SLERP", "yam-peleg/Experiment22-7B"], "base_model": ["CultriX/NeuralCeptrix-7B-SLERP", "yam-peleg/Experiment22-7B"]} | allknowingroger/NeuralCeptrix-7B-slerp | null | [
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... | null | 2024-04-01T07:11:14+00:00 | [] | [] | TAGS
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# NeuralCeptrix-7B-slerp
NeuralCeptrix-7B-slerp is a merge of the following models using LazyMergekit:
* CultriX/NeuralCeptrix-7B-SLERP
* yam-peleg/Experiment22-7B
## Configuration
## Usage
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fill-mask | 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": []} | renly/dummy-model | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
## Exllama v2 Quantizations of Tess-10.7B-v2.0
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.17">turboderp's ExLlamaV2 v0.0.17</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contain... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": [], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/Tess-10.7B-v2.0-exl2 | null | [
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#transformers #mergekit #merge #text-generation #license-apache-2.0 #endpoints_compatible #region-us
| Exllama v2 Quantizations of Tess-10.7B-v2.0
-------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.17 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with the main... | [] | [
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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": []} | handsomejack42/sst2_gpu_roberta-base-go | null | [
"transformers",
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"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# Llama2-jp-127M-2
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the follow... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "Llama2-jp-127M-2", "results": []}]} | HachiML/Llama2-jp-127M-2 | null | [
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| Llama2-jp-127M-2
================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5366
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0024\n* train\\_batch\\_size: 192\n* eval\\_batch\\_size: 192\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ste... | [
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text-generation | transformers |
## Llamacpp Quantizations of Tess-10.7B-v2.0
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2536">b2536</a> for quantization.
Original model: https://huggingface.co/Joseph717171/Tess-10.7B-v2.0
Download a file (not the whol... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": [], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/Tess-10.7B-v2.0-GGUF | null | [
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#transformers #gguf #mergekit #merge #text-generation #license-apache-2.0 #endpoints_compatible #region-us
| Llamacpp Quantizations of Tess-10.7B-v2.0
-----------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Download a file (not the whole branch) from below:
Want to support my work? Visit my ko-fi page here: URL
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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="atk1432/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_s... | {"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... | atk1432/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4",
"q-learning",
"reinforcement-learning",
"custom-implementation",
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#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="atk1432/q-FrozenLake-v1-4x4-noSlippery", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = ... | [
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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": []} | sazirarrwth99/mistralthreeepochs | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- 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. -->
# falcon-7b-instruct-bf16-finetuned-qa_own_april
This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://hugging... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "tiiuae/falcon-7b-instruct", "model-index": [{"name": "falcon-7b-instruct-bf16-finetuned-qa_own_april", "results": []}]} | Ray011/falcon-7b-instruct-bf16-finetuned-qa_own_april | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-tiiuae/falcon-7b-instruct #license-apache-2.0 #region-us
|
# falcon-7b-instruct-bf16-finetuned-qa_own_april
This model is a fine-tuned version of tiiuae/falcon-7b-instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-dev
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unkn... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-dev", "results": []}]} | Devanshj7/whisper-dev | null | [
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"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
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] | null | 2024-04-01T07:19:43+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us
| whisper-dev
===========
This model is a fine-tuned version of openai/whisper-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9716
* Wer: 68.6047
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: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 1000\n* mixed\\... | [
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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. -->
# gpt-neo-125m-cs-finetuning-60000-3
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuth... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-60000-3", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-60000-3 | null | [
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"base_model:EleutherAI/gpt-neo-125m",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T07:23:33+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neo #text-generation #generated_from_trainer #base_model-EleutherAI/gpt-neo-125m #license-mit #autotrain_compatible #endpoints_compatible #region-us
| gpt-neo-125m-cs-finetuning-60000-3
==================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2196
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
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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. -->
# led_large_16384_docstring
This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/led-base-16384", "model-index": [{"name": "led_large_16384_docstring", "results": []}]} | juraj-juraj/led_base_16384_docstring | null | [
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T07:24:40+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #led #text2text-generation #generated_from_trainer #base_model-allenai/led-base-16384 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| led\_large\_16384\_docstring
============================
This model is a fine-tuned version of allenai/led-base-16384 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4572
* Rouge2 Precision: 0.091
* Rouge2 Recall: 0.2244
* Rouge2 Fmeasure: 0.1219
Model description
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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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": []} | mydearvenkat/dialogue_Summary_peft | 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 | # Chat2DB-GLM
## Introduction
Chat2DB-GLM is a part of the open-source project [Chat2DB](https://github.com/chat2db/Chat2DB/), aimed at providing an efficient way to convert natural language queries into structured SQL statements. The open-sourced [Chat2DB-SQL-7B](https://huggingface.co/Chat2DB/Chat2DB-GLM-7B) model... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | Chat2DB/Chat2DB-SQL-7B | null | [
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| Chat2DB-GLM
===========
Introduction
------------
Chat2DB-GLM is a part of the open-source project Chat2DB, aimed at providing an efficient way to convert natural language queries into structured SQL statements. The open-sourced Chat2DB-SQL-7B model, with 7B parameters, has been fine-tuned based on CodeLlama. This ... | [] | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-200K-bpw4 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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text-generation | transformers | # [MaziyarPanahi/Ognoexperiment27M7-7B-GGUF](https://huggingface.co/MaziyarPanahi/Ognoexperiment27M7-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Ognoexperiment27M7-7B](https://huggingface.co/automerger/Ognoexperiment27M7-7B)
## Description
[MaziyarPanahi/Ogno... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:liminerity/M7-7b", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generation-infer... | MaziyarPanahi/Ognoexperiment27M7-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Ognoexperiment27M7-7B
## Description
MaziyarPanahi/Ognoexperiment27M7-7B-GGUF contains GGUF format model files for automerger/Ognoexperiment27M7-7B.
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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 | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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null | transformers |
# Uploaded model
- **Developed by:** azhardhiaulhaq229
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/billsum_2052_bart-base | null | [
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# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | null |
## Exllama v2 Quantizations of Zebrafish-7B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.17">turboderp's ExLlamaV2 v0.0.17</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contains a... | {"license": "cc-by-nc-4.0", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": ["liminerity/M7-7b", "rwitz/experiment26-truthy-iter-0"], "quantized_by": "suparious", "pipeline_tag": "text-generation"} | Suparious/Zebrafish-7B-exl2 | null | [
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| Exllama v2 Quantizations of Zebrafish-7B
----------------------------------------
Using <a href="URL ExLlamaV2 v0.0.17 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with the main one c... | [] | [
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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": []} | cilantro9246/cp85i6v | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/h3pyx8w | null | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | KarthikAlagarsamy/my_awesome_qa_model | null | [
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| my\_awesome\_qa\_model
======================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
--------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/nwnebqw | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
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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": []} | jisukim8873/mistral-7B-alpaca-case-2-3 | null | [
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
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null | transformers | ## About
static quants of https://huggingface.co/yusukewm/RedDevil-7B
<!-- provided-files -->
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 Discuss... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "mlabonne/Daredevil-7B", "Rakuten/RakutenAI-7B-chat"], "base_model": "yusukewm/RedDevil-7B", "quantized_by": "mradermacher"} | mradermacher/RedDevil-7B-GGUF | null | [
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"endpoints_compatible",
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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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] |
null | null | # Bookworm-10.7B-v0.4-DPO
a GGUF version of [yanolja/Bookworm-10.7B-v0.4-DPO](https://huggingface.co/yanolja/Bookworm-10.7B-v0.4-DPO)
## Join Our Community on Discord!
If you're passionate about the field of Large Language Models and wish to exchange knowledge and insights, we warmly invite you to join our Discord s... | {"license": "apache-2.0", "tags": ["gguf", "q4_1"], "base_model": "yanolja/KoSOLAR-10.7B-v0.2", "model-index": [{"name": "yanolja/Bookworm-10.7B-v0.4-DPO", "results": []}]} | toraise/Bookworm-10.7B-v0.4-DPO-GGUF | null | [
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"base_model:yanolja/KoSOLAR-10.7B-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-01T07:43:22+00:00 | [
"2310.01377",
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#gguf #q4_1 #arxiv-2310.01377 #arxiv-2306.02707 #base_model-yanolja/KoSOLAR-10.7B-v0.2 #license-apache-2.0 #region-us
| Bookworm-10.7B-v0.4-DPO
=======================
a GGUF version of yanolja/Bookworm-10.7B-v0.4-DPO
Join Our Community on Discord!
------------------------------
If you're passionate about the field of Large Language Models and wish to exchange knowledge and insights, we warmly invite you to join our Discord server... | [
"### Training Data\n\n\n* Korean-translated version of Open-Orca/SlimOrca-Dedup\n* Korean-translated version of argilla/ultrafeedback-binarized-preferences-cleaned\n* No other dataset was used"
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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": []} | Anusha64/NousResearch-7b-mar28 | null | [
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"text-generation-inference",
"region:us"
] | null | 2024-04-01T07:45:47+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# XVERSE-MoE-A4.2B
## 更新信息
- **[2024/04/28]** 发布 MoE 架构的 **XVERSE-MoE-A4.2B-Chat** 对话模型。
- **[2024/04/02]** 发布 MoE 架构的 **XVERSE-MoE-A4.2B** 底座模型，Chat 对齐模型将在后续发布。
## Update Information
- **[2024/04/28]** Released **XVERSE-MoE-A4.2B-Chat** MoE chat model.
- **[2024/04/02]** Released **XVERSE-MoE-A4.2B** MoE base model... | {"license": "apache-2.0", "inference": false} | xverse/XVERSE-MoE-A4.2B | null | [
"transformers",
"pytorch",
"xverse",
"text-generation",
"custom_code",
"license:apache-2.0",
"autotrain_compatible",
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#transformers #pytorch #xverse #text-generation #custom_code #license-apache-2.0 #autotrain_compatible #region-us
| XVERSE-MoE-A4.2B
================
更新信息
----
* [2024/04/28] 发布 MoE 架构的 XVERSE-MoE-A4.2B-Chat 对话模型。
* [2024/04/02] 发布 MoE 架构的 XVERSE-MoE-A4.2B 底座模型，Chat 对齐模型将在后续发布。
Update Information
------------------
* [2024/04/28] Released XVERSE-MoE-A4.2B-Chat MoE chat model.
* [2024/04/02] Released XVERSE-MoE-A4.2B MoE base... | [
"### Transformers 加载方式\n\n\n可通过以下代码加载 XVERSE-MoE-A4.2B 模型来进行推理：\n\n\nUsage\n-----",
"### Loading with Transformers\n\n\nThe XVERSE-MoE-A4.2B model can be loaded for inference using the following code:\n\n\n局限性与免责申明\n--------\n\n\nXVERSE-MoE-A4.2B 与其他所有 LLM 一样，在某些情况下可能会产生不准确、有偏见或其他令人反感的内容。因此，请谨慎使用模型生成的内容，请勿将生成的有害内... | [
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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": []} | a-h-m-e-d/mistral_7b_v2_finetuned-v3 | null | [
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"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# wiki_asp-educational_institution_7476_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "wiki_asp-educational_institution_7476_bart-base", "results": []}]} | baek26/wiki_asp-educational_institution_7476_bart-base | null | [
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| wiki\_asp-educational\_institution\_7476\_bart-base
===================================================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6483
* Rouge1: 0.1554
* Rouge2: 0.0598
* Rougel: 0.1308
* Rougels... | [
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zero-shot-image-classification | open_clip | # Model card for open-clip-vit-h-nsfw-finetune
words trained, some have more training data than others. for "hair", "face", "breasts" add the category when searching, eg "pretty face". for clothing use "wearing x"
```
group: ['2 women', 'multiple women']
view: ['close up', '3/4 view', 'front view', '3/4 rear view', 'r... | {"license": "mit", "library_name": "open_clip", "tags": ["clip", "not-for-all-audiences"], "pipeline_tag": "zero-shot-image-classification"} | woweenie/open-clip-vit-h-nsfw-finetune | null | [
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#open_clip #safetensors #clip #not-for-all-audiences #zero-shot-image-classification #license-mit #region-us
| # Model card for open-clip-vit-h-nsfw-finetune
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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. -->
# model
This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "Falconsai/text_summarization", "model-index": [{"name": "model", "results": []}]} | Rahul0098/model | null | [
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"base_model:Falconsai/text_summarization",
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-Falconsai/text_summarization #license-apache-2.0 #region-us
| model
=====
This model is a fine-tuned version of Falconsai/text\_summarization on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2990
* Rouge1: 0.1186
* Rouge2: 0.0198
* Rougel: 0.094
* Rougelsum: 0.094
* Gen Len: 19.9958
Model description
-----------------
More informat... | [
"### 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: 4\n* mixed\\_prec... | [
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null | transformers |
# aiva-4x500m
<img src="https://liketowatchblog.files.wordpress.com/2015/10/ex-machina-ava-dress.jpg">
## Model Details
This is a transformer based model trained on [cosmopedia] and [starcoder] datasets. This is able to generate new sequences and classify the emotions and sentiments in the speech. Uses MoE same as M... | {"language": ["en"], "license": "mit", "tags": ["transformers", "bert", "decoder-only", "encoder-decoder", "mixture of experts", "moe", "MoE", "aiva-500m", "transformer model", "llm", "small scale model"], "datasets": ["HuggingFaceTB/cosmopedia", "bigcode/starcoderdata", "shivendrra/consolidated-datasets"]} | shivendrra/avia-4x500m | null | [
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"license:m... | null | 2024-04-01T07:52:40+00:00 | [] | [
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|
# aiva-4x500m
<img src="URL
## Model Details
This is a transformer based model trained on [cosmopedia] and [starcoder] datasets. This is able to generate new sequences and classify the emotions and sentiments in the speech. Uses MoE same as Mistral's 8x7b model, but uses 4 of 500million models.
For now it only has ... | [
"# aiva-4x500m\n\n<img src=\"URL",
"## Model Details\nThis is a transformer based model trained on [cosmopedia] and [starcoder] datasets. This is able to generate new sequences and classify the emotions and sentiments in the speech. Uses MoE same as Mistral's 8x7b model, but uses 4 of 500million models.\n\nFor no... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-50epochs-LoRA-FreedomIntelligence-indo
This model is a fine-tuned version of [ybelkada/Mistral-7B-v0.1-bf16-sharded](... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "ybelkada/Mistral-7B-v0.1-bf16-sharded", "model-index": [{"name": "mistral-7b-50epochs-LoRA-FreedomIntelligence-indo", "results": []}]} | hanifsyarubany10/mistral-7b-50epochs-LoRA-FreedomIntelligence-indo-1e-3 | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:ybelkada/Mistral-7B-v0.1-bf16-sharded",
"region:us"
] | null | 2024-04-01T07:54:49+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-ybelkada/Mistral-7B-v0.1-bf16-sharded #region-us
|
# mistral-7b-50epochs-LoRA-FreedomIntelligence-indo
This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
"# mistral-7b-50epochs-LoRA-FreedomIntelligence-indo\n\nThis model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMo... | [
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"# mistral-7b-50epochs-LoRA-FreedomIntelligence-indo\n\nThis model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset... | [
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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. -->
# sharan-flant-t5-cohe-doc
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-smal... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "sharan-flant-t5-cohe-doc", "results": []}]} | sharanharsoor/sharan-flant-t5-cohe-doc | null | [
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|
# sharan-flant-t5-cohe-doc
This model is a fine-tuned version of google/flan-t5-small on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-200K-bpw4.4 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
"### Fact-based Evaluation (Open LLM Leaderboard)",
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text-to-image | diffusers |
# Textual inversion text2image fine-tuning - Yorick/wo_cap_person
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
| {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | Yorick/wo_cap_person | null | [
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|
# Textual inversion text2image fine-tuning - Yorick/wo_cap_person
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
| [
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text-to-image | diffusers |
# Textual inversion text2image fine-tuning - Yorick/wo_cap_dog
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
| {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | Yorick/wo_cap_dog | null | [
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|
# Textual inversion text2image fine-tuning - Yorick/wo_cap_dog
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
| [
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text-to-image | diffusers |
# Textual inversion text2image fine-tuning - Yorick/wo_cap_car
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
| {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | Yorick/wo_cap_car | null | [
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|
# Textual inversion text2image fine-tuning - Yorick/wo_cap_car
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
| [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_pii_model_bert_large_uncased_2
This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-uncased", "model-index": [{"name": "my_pii_model_bert_large_uncased_2", "results": []}]} | shubhamgantayat/my_pii_model_bert_large_uncased_2 | null | [
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| my\_pii\_model\_bert\_large\_uncased\_2
=======================================
This model is a fine-tuned version of google-bert/bert-large-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0003
Model description
-----------------
More information needed
Intended... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3\n* mixed\\_precis... | [
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null | transformers | ## About
static quants of https://huggingface.co/mahiatlinux/MasherAI-v6-7B
<!-- provided-files -->
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 D... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "mahiatlinux/MasherAI-v6-7B", "quantized_by": "mradermacher"} | mradermacher/MasherAI-v6-7B-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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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": []} | Raghav3842/mistral_8000_20_finetuned_4012024 | null | [
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"1910.09700"
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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-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": []} | KaggleMasterX/Roberta | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# 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": []} | KaggleMasterX/RobertaTok | 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 | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [coffiee/s25](https://huggingface.co/coffiee... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffiee/s25", "coffiee/s26"]} | Sumail/Goat_Derrick15 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* coffiee/s25
* coffiee/s26
### Configuration
The following YAML configuration wa... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
model = load_from_hub(repo_id="atk1432/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.make... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.36 +/- ... | atk1432/Taxi-v3 | null | [
"Taxi-v3",
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"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-01T08:07:57+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
model = load_from_hub(repo_id="atk1432/Taxi-v3", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = URL(model["env_id"])
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text-generation | transformers | # [MaziyarPanahi/Inex16Calme-7B-GGUF](https://huggingface.co/MaziyarPanahi/Inex16Calme-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Inex16Calme-7B](https://huggingface.co/automerger/Inex16Calme-7B)
## Description
[MaziyarPanahi/Inex16Calme-7B-GGUF](https://hug... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:MSL7/INEX16-7b", "base_model:MaziyarPanahi/Calme-7B-Instruct-v0.1.1", "license:apache-2.0", "autotrain_compatib... | MaziyarPanahi/Inex16Calme-7B-GGUF | null | [
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"... | null | 2024-04-01T08:09:14+00:00 | [] | [] | TAGS
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- Model creator: automerger
- Original model: automerger/Inex16Calme-7B
## Description
MaziyarPanahi/Inex16Calme-7B-GGUF contains GGUF format model files for automerger/Inex16Calme-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
### ... | [
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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": []} | 0x0son0/s_61 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | a-h-m-e-d/mistral_7b_v2_finetuned-rules-v3-spectral-rulesets | 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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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. -->
# gpt-neo-125m-cs-finetuning-70000-1
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuth... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-70000-1", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-70000-1 | null | [
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| gpt-neo-125m-cs-finetuning-70000-1
==================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1890
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-200K-bpw4.6 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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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. -->
# sharan-flant-t5-cohe-doc-2
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-sm... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "sharan-flant-t5-cohe-doc-2", "results": []}]} | sharanharsoor/sharan-flant-t5-cohe-doc-2 | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T08:12:23+00:00 | [] | [] | TAGS
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|
# sharan-flant-t5-cohe-doc-2
This model is a fine-tuned version of google/flan-t5-small on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpar... | [
"# sharan-flant-t5-cohe-doc-2\n\nThis model is a fine-tuned version of google/flan-t5-small on the None dataset.",
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# practice-bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on a... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "practice-bert-finetuned-ner", "results": []}]} | drchandra-code/practice-bert-finetuned-ner | null | [
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"base_model:bert-base-cased",
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| practice-bert-finetuned-ner
===========================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0664
* Precision: 0.9326
* Recall: 0.9507
* F1: 0.9416
* Accuracy: 0.9872
Model description
-----------------
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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. -->
# whisper-small-ta-peft-lora-cross
This model is a fine-tuned version of [yaygomii/whisper-small-ta-fyp](https://huggingface.co/ya... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "yaygomii/whisper-small-ta-fyp", "model-index": [{"name": "whisper-small-ta-peft-lora-cross", "results": []}]} | Aishkrish/whisper-small-ta-peft-lora-cross | null | [
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| whisper-small-ta-peft-lora-cross
================================
This model is a fine-tuned version of yaygomii/whisper-small-ta-fyp on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3226
Model description
-----------------
More information needed
Intended uses & limitat... | [
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object-detection | 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. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr-resnet-50_finetuned_cppe5", "results": []}]} | ARG-NCTU/detr-resnet-50_finetuned_cppe5 | null | [
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|
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of facebook/detr-resnet-50 on cppe5 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and testing data
CPPE5 dataset
## Training procedure
### Training hyperparameters
... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [coffiee/s25](https://huggingface.co/coffiee/s25) as a base.
### Models Me... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffiee/s25", "coffiee/s26", "zzttbrdd/sn6_05s"]} | Sumail/Goat_Derrick16 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using coffiee/s25 as a base.
### Models Merged
The following models were included in the merge:
* coffiee/s26
* zzttbrdd/sn6_05s
### Configuration
The... | [
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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. -->
# thaisum_v1
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-small", "model-index": [{"name": "thaisum_v1", "results": []}]} | petchbks01/thaisum_v1 | null | [
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| thaisum\_v1
===========
This model is a fine-tuned version of google-t5/t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0891
* Rouge1: 0.0133
* Rouge2: 0.0
* Rougel: 0.0133
* Rougelsum: 0.0133
* Gen Len: 19.0
Model description
-----------------
More information n... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
model = load_from_hub(repo_id="atk1432/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.ma... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | atk1432/q-Taxi-v3 | null | [
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
model = load_from_hub(repo_id="atk1432/q-Taxi-v3", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = URL(model["env_id"])
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image-classification | transformers |
This model is a fine-tuned version of [facebook/deit-tiny-distilled-patch16-224](https://huggingface.co/facebook/deit-tiny-distilled-patch16-224) on the [docornot](https://huggingface.co/datasets/tarekziade/docornot) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
# ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": "tarekziade/docornot", "metrics": ["accuracy"], "base_model": "facebook/deit-tiny-distilled-patch16-224", "pipeline_tag": "image-classification", "model-index": [{"name": "results", "results": []}]} | tarekziade/docornot | null | [
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| This model is a fine-tuned version of facebook/deit-tiny-distilled-patch16-224 on the docornot dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0000
* Accuracy: 1.0
CO2 emissions
=============
This model was trained on an M1 and took 0.322 g of CO2 (measured with CodeCarbon)
Model d... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth", "trl", "sft"]} | Warit2/gemma7b | 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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text-generation | transformers | # [MaziyarPanahi/YamshadowInex12-7B-GGUF](https://huggingface.co/MaziyarPanahi/YamshadowInex12-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
## Description
[MaziyarPanahi/YamshadowInex12-... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:MSL7/INEX12-7b", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generation-inferen... | MaziyarPanahi/YamshadowInex12-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/YamshadowInex12-7B
## Description
MaziyarPanahi/YamshadowInex12-7B-GGUF contains GGUF format model files for automerger/YamshadowInex12-7B.
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null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-201.33B | null | [
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null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
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null | transformers | **Architecture & Training Configuration:**
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null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-901.78B | null | [
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null | transformers | **Architecture & Training Configuration:**
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"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:26+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-1199.57B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:26+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-50.33B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:27+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-88.08B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:27+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | null | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-hkg_amber_hf | null | [
"region:us"
] | null | 2024-04-01T08:22:28+00:00 | [] | [] | TAGS
#region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#region-us \n"
] | [
5
] | [
"TAGS\n#region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-301.99B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:28+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-58.72B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:29+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-499.12B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:29+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-801.11B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:29+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-998.24B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:30+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-41.94B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:30+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-100.66B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:31+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-29.36B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:31+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-20.97B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:32+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-1300.23B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:32+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-1098.91B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:33+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-398.46B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:33+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-700.45B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:34+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
null | transformers | **Architecture & Training Configuration:**
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was deto... | {} | m-a-p/Amber-Reproduce-71.30B | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T08:22:34+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
| Architecture & Training Configuration:
- *Base Model Configuration*: This variant is built upon the Llama2-7B configuration, ensuring a robust foundation that aligns with the latest advancements in model architecture.
- *Sequence Length Adaptation*: Originally processed data for a sequence length of 2048 was detokeni... | [] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] | [
16
] | [
"TAGS\n#transformers #safetensors #endpoints_compatible #region-us \n"
] |
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