modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AliGhiasvand86/digit_recognition2 | 2023-07-30T11:05:29.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | AliGhiasvand86 | null | null | AliGhiasvand86/digit_recognition2 | 0 | 2 | transformers | 2023-07-30T11:05:22 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: digit_recognition2
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.19801980257034302
---
# digit_recognit... | 1,095 | [
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0.0... |
mlabonne/llama-2-13b-guanaco | 2023-07-30T15:57:40.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:timdettmers/openassistant-guanaco",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | mlabonne | null | null | mlabonne/llama-2-13b-guanaco | 3 | 2 | transformers | 2023-07-30T14:13:37 | ---
license: apache-2.0
datasets:
- timdettmers/openassistant-guanaco
pipeline_tag: text-generation
---
# Llama-2-13b-guanaco
📝 [Article](https://towardsdatascience.com/fine-tune-your-own-llama-2-model-in-a-colab-notebook-df9823a04a32) |
💻 [Colab](https://colab.research.google.com/drive/1PEQyJO1-f6j0S_XJ8DV50NkpzasX... | 1,413 | [
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csabad/ppo-LunarLander-v2 | 2023-07-30T14:42:50.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | csabad | null | null | csabad/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-07-30T14:42:27 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | 784 | [
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matnord/PPO-LunarLander | 2023-07-30T15:44:04.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | matnord | null | null | matnord/PPO-LunarLander | 0 | 2 | stable-baselines3 | 2023-07-30T15:43:42 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | 784 | [
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terru3/ppo-LunarLander-v2 | 2023-07-30T18:40:46.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | terru3 | null | null | terru3/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-07-30T18:40:22 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | 784 | [
[
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-... |
yiminghuang47/prot_bert-finetuned-mhc | 2023-07-30T19:46:35.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | yiminghuang47 | null | null | yiminghuang47/prot_bert-finetuned-mhc | 0 | 2 | transformers | 2023-07-30T19:33:20 | ---
base_model: Rostlab/prot_bert
tags:
- generated_from_trainer
model-index:
- name: prot_bert-finetuned-MHC
results: []
---
<!-- 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. -->
# p... | 1,380 | [
[
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... |
emre/llama-2-13b-mini | 2023-07-30T21:22:30.000Z | [
"transformers",
"pytorch",
"tensorboard",
"llama",
"text-generation",
"dataset:mlabonne/guanaco-llama2-1k",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | emre | null | null | emre/llama-2-13b-mini | 3 | 2 | transformers | 2023-07-30T21:05:39 | ---
license: apache-2.0
datasets:
- mlabonne/guanaco-llama2-1k
pipeline_tag: text-generation
---
# 🦙🧠 emre/llama-2-13b-mini
This is a `Llama-2-13b-chat-hf` model fine-tuned using QLoRA (4-bit precision).
## 🔧 Training
It was trained Colab Pro+. It is mainly designed for educational purposes, not for inference b... | 1,211 | [
[
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... |
brunoboat/ppo-PyramidsRND | 2023-07-30T22:06:55.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | brunoboat | null | null | brunoboat/ppo-PyramidsRND | 0 | 2 | ml-agents | 2023-07-30T22:06:53 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,337 | [
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nealchandra/llama-2-7b-hf-lora-alpaca-json | 2023-07-31T00:09:07.000Z | [
"peft",
"dataset:tatsu-lab/alpaca",
"region:us"
] | null | nealchandra | null | null | nealchandra/llama-2-7b-hf-lora-alpaca-json | 2 | 2 | peft | 2023-07-30T22:29:10 | ---
library_name: peft
datasets:
- tatsu-lab/alpaca
---
## Overview
This model is simple POC for JSON based text completion for instructions following tasks. It was trained on the 20,000 records from the Alpaca dataset with a simple prompt template to expect and return JSON inputs. The prompt template used is roughly l... | 1,730 | [
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narvind2003/llama-2-7b-miniguanaco | 2023-07-31T06:06:46.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:mlabonne/guanaco-llama2",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | narvind2003 | null | null | narvind2003/llama-2-7b-miniguanaco | 1 | 2 | transformers | 2023-07-31T05:36:47 | ---
license: mit
datasets:
- mlabonne/guanaco-llama2
---
# Finetuning Llama2 7b on 1000 samples from the Guanaco dataset, using QLoRA - quantization + low rank adaptation.
The Llama2 model from Meta has several variants. The smallest one containing 7 billion parameters has been finetuned here. | 295 | [
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0... |
saurabh2086/ppo-LunarLander-v2 | 2023-07-31T07:14:52.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | saurabh2086 | null | null | saurabh2086/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-07-31T07:14:30 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | 784 | [
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jkhan447/HateXplain-weighted-agreement-labeled | 2023-07-31T09:38:17.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | jkhan447 | null | null | jkhan447/HateXplain-weighted-agreement-labeled | 0 | 2 | transformers | 2023-07-31T08:42:29 | ---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: HateXplain-weighted-agreement-labeled
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofre... | 1,211 | [
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mrmrob003/ppo-Pyramids | 2023-07-31T11:40:32.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | mrmrob003 | null | null | mrmrob003/ppo-Pyramids | 0 | 2 | ml-agents | 2023-07-31T11:40:25 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,334 | [
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Kamelowy/Nous-Hermes-Llama2-13b-Kimiko-GPTQ | 2023-07-31T11:54:37.000Z | [
"transformers",
"llama",
"text-generation",
"llama-2",
"en",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | Kamelowy | null | null | Kamelowy/Nous-Hermes-Llama2-13b-Kimiko-GPTQ | 2 | 2 | transformers | 2023-07-31T11:41:01 | ---
inference: false
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- llama
- llama-2
license: other
---
# Model Card: Nous-Hermes-Llama-2-13b-Kimiko-GPTQ
This is a GPTQ 4-bit quantization of Nous-Hermes-Llama2-13b-Kimiko-Lora-Merged (https://huggingface.co/Doctor-Shotgun/Nous-Hermes-Ll... | 1,092 | [
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aroot/eng-deu-sent_delfy | 2023-07-31T12:49:46.000Z | [
"transformers",
"pytorch",
"tensorboard",
"mbart",
"text2text-generation",
"translation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | aroot | null | null | aroot/eng-deu-sent_delfy | 0 | 2 | transformers | 2023-07-31T12:15:33 | ---
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: eng-deu-sent_delfy
results: []
---
<!-- 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. -->
# eng-de... | 1,185 | [
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-0.035797119140625,
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-0.... |
jariasn/ML-Agents-Pyramids | 2023-07-31T17:04:01.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | jariasn | null | null | jariasn/ML-Agents-Pyramids | 0 | 2 | ml-agents | 2023-07-31T17:01:23 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,338 | [
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-0.05010986328125,
-0.029510498046875,
-0.0148... |
speechbrain/tts-diffwave-ljspeech | 2023-08-09T10:40:54.000Z | [
"speechbrain",
"Vocoder",
"DiffWave",
"text-to-speech",
"TTS",
"speech-synthesis",
"en",
"dataset:LJSpeech",
"arxiv:2009.09761",
"arxiv:2106.04624",
"license:apache-2.0",
"region:us"
] | text-to-speech | speechbrain | null | null | speechbrain/tts-diffwave-ljspeech | 1 | 2 | speechbrain | 2023-07-31T17:23:42 | ---
language: "en"
inference: false
tags:
- Vocoder
- DiffWave
- text-to-speech
- TTS
- speech-synthesis
- speechbrain
license: "apache-2.0"
datasets:
- LJSpeech
---
# Vocoder with DiffWave trained on LJSpeech
This repository provides all the necessary tools for using a [DiffWave](https://arxiv.org/pdf/2009.09761.pdf... | 5,234 | [
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ckandemir/speecht5_finetuned_voxpopuli_fr | 2023-08-03T21:20:21.000Z | [
"transformers",
"pytorch",
"tensorboard",
"speecht5",
"text-to-audio",
"generated_from_trainer",
"text-to-speech",
"dataset:voxpopuli",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-to-speech | ckandemir | null | null | ckandemir/speecht5_finetuned_voxpopuli_fr | 0 | 2 | transformers | 2023-07-31T21:24:05 | ---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_fr
results: []
pipeline_tag: text-to-speech
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
... | 2,444 | [
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KM4STfulltext/HsscBERT_e5 | 2023-08-01T03:36:55.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | KM4STfulltext | null | null | KM4STfulltext/HsscBERT_e5 | 0 | 2 | transformers | 2023-08-01T03:22:49 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: HsscBERT_abs_and_full
results: []
---
<!-- 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. -->
# HsscBERT_abs_... | 2,367 | [
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-0.... |
GrazittiInteractive/llama-2-13b | 2023-08-10T10:49:14.000Z | [
"transformers",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"dataset:meta-llama/Llama-2-13b",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | GrazittiInteractive | null | null | GrazittiInteractive/llama-2-13b | 1 | 2 | transformers | 2023-08-01T07:39:26 | ---
inference: false
language:
- en
pipeline_tag: text-generation
datasets:
- meta-llama/Llama-2-13b
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_type: llama
license: other
---
# Meta's Llama 2 13B GGML
A 4 Bit GGML format quantized version of base mode Llama-2-13b taken from https://huggingface.co/meta... | 12,562 | [
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-0.03106689453125,
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0.0006... |
ssbuild/chatglm2-6b-32k-int4 | 2023-08-01T18:21:00.000Z | [
"transformers",
"pytorch",
"chatglm",
"custom_code",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | ssbuild | null | null | ssbuild/chatglm2-6b-32k-int4 | 2 | 2 | transformers | 2023-08-01T08:18:16 | ---
license: apache-2.0
---
---
language:
- zh
- en
tags:
- glm
- chatglm
- thudm
---
# ChatGLM2-6B
## 软件依赖
```shell
pip install protobuf transformers==4.30.2 cpm_kernels torch>=2.0 gradio mdtex2html sentencepiece accelerate
```
## 代码调用
可以通过如下代码调用 ChatGLM-6B 模型来生成对话：
```ipython
>>> from transformers import AutoTok... | 1,626 | [
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0.0191497802734375,
-0.031707763671875,
-0.040008544921875,
-0.05209350585... |
Pavan27/NER_Telugu_01 | 2023-10-03T08:59:41.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"token-classification",
"telugu",
"NER",
"TeluguNER",
"te",
"en",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Pavan27 | null | null | Pavan27/NER_Telugu_01 | 1 | 2 | transformers | 2023-08-01T09:57:19 | ---
language:
- te
- en
tags:
- telugu
- NER
- TeluguNER
---
## Direct Use
The model is a language model. The model can be used for token classification, a natural language understanding task in which a label is assigned to some tokens in a text.
## Downstream Use
Potential downstream use cases include Named Entity... | 1,810 | [
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0.0438232421875,
-0.0311431884765625,
-0.04345703125,
-0.04876708984375... |
greg-szopinski/ppo-Pyramids-1 | 2023-08-01T10:22:29.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | greg-szopinski | null | null | greg-szopinski/ppo-Pyramids-1 | 0 | 2 | ml-agents | 2023-08-01T10:22:26 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,341 | [
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-0.... |
embaas/sentence-transformers-gte-small | 2023-08-01T11:04:18.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | sentence-similarity | embaas | null | null | embaas/sentence-transformers-gte-small | 0 | 2 | sentence-transformers | 2023-08-01T11:04:14 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# embaas/sentence-transformers-gte-small
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks ... | 1,672 | [
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0.00514984... |
chaanks/asr-whisper-tiny-sb | 2023-08-02T09:04:49.000Z | [
"speechbrain",
"whisper",
"pytorch",
"Transformer",
"hf-asr-leaderboard",
"automatic-speech-recognition",
"en",
"license:apache-2.0",
"model-index",
"region:us"
] | automatic-speech-recognition | chaanks | null | null | chaanks/asr-whisper-tiny-sb | 0 | 2 | speechbrain | 2023-08-01T11:53:52 | ---
language:
- en
thumbnail: null
pipeline_tag: automatic-speech-recognition
tags:
- whisper
- pytorch
- speechbrain
- Transformer
- hf-asr-leaderboard
license: apache-2.0
model-index:
- name: asr-whisper-tiny-sb
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech... | 3,221 | [
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... |
Supabase/all-MiniLM-L6-v2 | 2023-05-30T15:33:53.000Z | [
"transformers.js",
"onnx",
"bert",
"feature-extraction",
"region:us"
] | feature-extraction | Supabase | null | null | Supabase/all-MiniLM-L6-v2 | 1 | 2 | transformers.js | 2023-08-01T15:26:49 | ---
library_name: "transformers.js"
---
https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2 with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web... | 517 | [
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0.01309... |
toughdata/flan-t5-base-eli5-question-generation-54500 | 2023-08-01T19:33:16.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:eli5",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | toughdata | null | null | toughdata/flan-t5-base-eli5-question-generation-54500 | 0 | 2 | transformers | 2023-08-01T15:41:38 | ---
datasets:
- eli5
language:
- en
---
This model generates short questions based on long answers.
To use, prend "rephrase this as a question: " to your input text. | 166 | [
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0.... |
lesliepzimmermann/ppo-SnowballTarget | 2023-08-01T17:48:36.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | reinforcement-learning | lesliepzimmermann | null | null | lesliepzimmermann/ppo-SnowballTarget | 0 | 2 | ml-agents | 2023-08-01T17:48:32 | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Te... | 1,372 | [
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0.03387451171875,
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-0.053466796875,
-0.03704833984375,
-0.02084... |
potatomode/short_jokes_model | 2023-08-01T20:24:46.000Z | [
"transformers",
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | potatomode | null | null | potatomode/short_jokes_model | 0 | 2 | transformers | 2023-08-01T17:49:29 | ---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: short_jokes_model
results: []
---
<!-- 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. -... | 1,365 | [
[
-0.0287017822265625,
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... |
DunnBC22/bert-base-uncased-Vitamin_C_Fact_Verification | 2023-08-02T02:15:12.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"multiple-choice",
"generated_from_trainer",
"multiple_choice",
"question-answering",
"en",
"dataset:tasksource/bigbench",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | question-answering | DunnBC22 | null | null | DunnBC22/bert-base-uncased-Vitamin_C_Fact_Verification | 1 | 2 | transformers | 2023-08-01T18:18:57 | ---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
- multiple_choice
metrics:
- accuracy
model-index:
- name: bert-base-uncased-Vitamin_C_Fact_Verification
results: []
datasets:
- tasksource/bigbench
language:
- en
pipeline_tag: question-answering
---
# bert-base-uncased-Vitamin_C_F... | 1,726 | [
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-0... |
lesliepzimmermann/ppo-PyramidsTraining | 2023-08-01T18:37:03.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | lesliepzimmermann | null | null | lesliepzimmermann/ppo-PyramidsTraining | 0 | 2 | ml-agents | 2023-08-01T18:37:00 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,350 | [
[
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... |
Gracoy/ingredients_compatibility_GPT2_S | 2023-08-05T09:55:45.000Z | [
"transformers",
"tf",
"gpt2",
"text-generation",
"generated_from_keras_callback",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Gracoy | null | null | Gracoy/ingredients_compatibility_GPT2_S | 0 | 2 | transformers | 2023-08-02T02:38:35 | ---
tags:
- generated_from_keras_callback
model-index:
- name: ingredients_compatibility_GPT2_S
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# ingredients_compatibi... | 1,380 | [
[
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-0.045684814453125,
-0.039276123046875,
-0.06072998046875... |
IProject-10/roberta-base-finetuned-squad2 | 2023-08-20T05:14:36.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"question-answering",
"generated_from_trainer",
"en",
"dataset:squad_v2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | IProject-10 | null | null | IProject-10/roberta-base-finetuned-squad2 | 1 | 2 | transformers | 2023-08-02T02:46:45 | ---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: roberta-base-finetuned-squad2
results: []
language:
- en
metrics:
- exact_match
- f1
pipeline_tag: question-answering
---
<!-- This model card has been generated automatically according to the informati... | 3,034 | [
[
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-... |
simonycl/roberta-large-sst-2-16-13 | 2023-08-02T20:55:24.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | simonycl | null | null | simonycl/roberta-large-sst-2-16-13 | 0 | 2 | transformers | 2023-08-02T07:50:50 | ---
license: mit
base_model: roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-large-sst-2-16-13
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | 10,632 | [
[
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-0.04248046875,
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... |
umaru97/gpt2-product-review-generation | 2023-08-02T13:26:06.000Z | [
"transformers",
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | umaru97 | null | null | umaru97/gpt2-product-review-generation | 0 | 2 | transformers | 2023-08-02T12:15:07 | ---
license: mit
base_model: gpt2-medium
tags:
- generated_from_trainer
model-index:
- name: gpt2-product-review-generation
results: []
---
<!-- 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 com... | 1,385 | [
[
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0.0207061767578125,
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-0.033843994140625,
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-0.0... |
kelSidenna/SoftwareReq-DialoGPT-medium | 2023-08-02T16:09:52.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | conversational | kelSidenna | null | null | kelSidenna/SoftwareReq-DialoGPT-medium | 0 | 2 | transformers | 2023-08-02T12:23:00 | ---
pipeline_tag: conversational
---
# Model Card for DialoGPT-medium Conversational Model
## Model Details
- **Model name:** Fine tuned DialoGPT-medium
- **Model type:** Transformer-based language model (GPT-2 variant)
- **Original model:** DialoGPT from Hugging Face model hub
- **Fine-tuning details:** The model ha... | 672 | [
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simonycl/roberta-base-sst-2-32-13 | 2023-08-02T20:16:41.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | simonycl | null | null | simonycl/roberta-base-sst-2-32-13 | 0 | 2 | transformers | 2023-08-02T19:51:32 | ---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-sst-2-32-13
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then ... | 10,627 | [
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WeightWatcher/albert-large-v2-cola | 2023-08-03T06:12:06.000Z | [
"transformers",
"pytorch",
"albert",
"text-classification",
"en",
"dataset:glue",
"arxiv:1909.11942",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | WeightWatcher | null | null | WeightWatcher/albert-large-v2-cola | 0 | 2 | transformers | 2023-08-02T20:23:24 | ---
language:
- "en"
license: mit
datasets:
- glue
metrics:
- Matthews Correlation
---
# Model Card for WeightWatcher/albert-large-v2-cola
This model was finetuned on the GLUE/cola task, based on the pretrained
albert-large-v2 model. Hyperparameters were (largely) taken from the following
publication, with so... | 2,497 | [
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OpenBuddy/openbuddy-falcon-40b-v9-bf16 | 2023-08-22T10:50:44.000Z | [
"transformers",
"pytorch",
"RefinedWeb",
"text-generation",
"custom_code",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"ru",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | OpenBuddy | null | null | OpenBuddy/openbuddy-falcon-40b-v9-bf16 | 1 | 2 | transformers | 2023-08-02T22:19:59 | ---
language:
- zh
- en
- fr
- de
- ja
- ko
- it
- ru
pipeline_tag: text-generation
inference: false
library_name: transformers
license: apache-2.0
---
# OpenBuddy - Open Multilingual Chatbot
GitHub and Usage Guide: [https://github.com/OpenBuddy/OpenBuddy](https://github.com/OpenBuddy/OpenBuddy)
Website and Demo: [... | 2,202 | [
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zslrmhb/ppo-Pyramids | 2023-08-02T23:15:37.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | zslrmhb | null | null | zslrmhb/ppo-Pyramids | 0 | 2 | ml-agents | 2023-08-02T23:14:14 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,332 | [
[
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zacdennis/PyramidsRND | 2023-08-03T03:43:13.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | zacdennis | null | null | zacdennis/PyramidsRND | 0 | 2 | ml-agents | 2023-08-03T03:43:10 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,333 | [
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tomoohive/PyramidTraining | 2023-08-03T03:54:13.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | tomoohive | null | null | tomoohive/PyramidTraining | 0 | 2 | ml-agents | 2023-08-03T03:52:37 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,337 | [
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NasimB/cbt-gutenberg_fixed-notm-log-rarity-seed | 2023-08-03T06:04:25.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"generated_from_trainer",
"dataset:generator",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | NasimB | null | null | NasimB/cbt-gutenberg_fixed-notm-log-rarity-seed | 0 | 2 | transformers | 2023-08-03T03:58:20 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: cbt-gutenberg_fixed-notm-log-rarity-seed
results: []
---
<!-- 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 ... | 2,360 | [
[
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kingbri/airochronos-l2-13B | 2023-08-04T02:47:18.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | kingbri | null | null | kingbri/airochronos-l2-13B | 1 | 2 | transformers | 2023-08-03T04:37:52 | ---
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- llama
- llama-2
---
# Model Card: airochronos-l2-13B
This is a 75/25 merge between:
- [Airoboros l2 13b gpt4 2.0](https://huggingface.co/jondurbin/airoboros-l2-13b-gpt4-2.0)
- [Chronos 13b v2](https://huggingface.co/elinas/chronos-13b... | 1,792 | [
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zohaib99k/Nous-Hermes-Llama2-8bit-GPTQ | 2023-08-03T07:07:37.000Z | [
"transformers",
"llama",
"text-generation",
"llama-2",
"self-instruct",
"distillation",
"synthetic instruction",
"en",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | zohaib99k | null | null | zohaib99k/Nous-Hermes-Llama2-8bit-GPTQ | 1 | 2 | transformers | 2023-08-03T06:06:58 | ---
inference: false
language:
- en
license: other
model_type: llama
tags:
- llama-2
- self-instruct
- distillation
- synthetic instruction
---
<!-- header start -->
<div style="width: 100%;">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: ... | 18,137 | [
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alandevkota/vit-base-patch16-224-finetuned-flower | 2023-08-03T19:16:17.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | alandevkota | null | null | alandevkota/vit-base-patch16-224-finetuned-flower | 0 | 2 | transformers | 2023-08-03T07:13:41 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: vit-base-patch16-224-finetuned-flower
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then r... | 1,119 | [
[
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Sookeyy/ppo-PyramidsRND | 2023-08-03T17:22:54.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | Sookeyy | null | null | Sookeyy/ppo-PyramidsRND | 0 | 2 | ml-agents | 2023-08-03T17:20:54 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,335 | [
[
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Valent2809/news_classifier_regulatory_approval | 2023-08-04T13:32:51.000Z | [
"transformers",
"tf",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Valent2809 | null | null | Valent2809/news_classifier_regulatory_approval | 0 | 2 | transformers | 2023-08-04T02:31:37 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Valent2809/news_classifier_regulatory_approval
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this com... | 1,988 | [
[
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biu-nlp/QAmden-multinews | 2023-08-04T11:51:45.000Z | [
"transformers",
"pytorch",
"led",
"text2text-generation",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | biu-nlp | null | null | biu-nlp/QAmden-multinews | 0 | 2 | transformers | 2023-08-04T08:23:49 | ---
language: en
license: apache-2.0
---
# 🏬QAmden🏬: Question-Answering-based Multi-DocumENt model
HF-version of the QAmden model fine-tuned over multinews: *Peek Across*: Improving Multi-Document Modeling via Cross-Document Question-Answering (ACL 2023).
You can use it by
```python
from transformers impor... | 1,107 | [
[
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0.0074501037... |
maurope/distilroberta-base-mrpc-glue-maurope | 2023-08-04T10:04:27.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | maurope | null | null | maurope/distilroberta-base-mrpc-glue-maurope | 0 | 2 | transformers | 2023-08-04T09:48:38 | ---
license: apache-2.0
tags:
- text-classification
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: distilroberta-base-mrpc-glue-maurope
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: datasetX
type: glue
c... | 1,852 | [
[
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sohailsiddiqui/bert-finetuned-ner | 2023-08-04T10:19:05.000Z | [
"transformers",
"tf",
"bert",
"token-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | sohailsiddiqui | null | null | sohailsiddiqui/bert-finetuned-ner | 0 | 2 | transformers | 2023-08-04T09:50:01 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: sohailsiddiq99/bert-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# ... | 1,487 | [
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Anis-Bouhamadouche/distilbert-base-uncased-finetuned-emotion | 2023-10-25T22:32:39.000Z | [
"transformers",
"pytorch",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Anis-Bouhamadouche | null | null | Anis-Bouhamadouche/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-08-04T10:05:01 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
... | 1,882 | [
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Yuyang-z/zero123-xl | 2023-08-05T02:13:46.000Z | [
"diffusers",
"license:mit",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | Yuyang-z | null | null | Yuyang-z/zero123-xl | 0 | 2 | diffusers | 2023-08-04T11:09:24 | ---
license: mit
---
Upload zero123-xl.ckpt, converted by diffusers scripts convert_original_stable_diffusion_to_diffusers.py
[Zero123-hf](https://github.com/kxhit/zero123_hf) implemented with diffusers pipelines.
Thanks Original Repo [Zero123](https://github.com/cvlab-columbia/zero123), and [Weights](https://huggin... | 352 | [
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juancopi81/speecht5_finetuned_voxpopuli_es | 2023-09-15T11:52:38.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"speecht5",
"text-to-audio",
"generated_from_trainer",
"text-to-speech",
"dataset:voxpopuli",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-to-speech | juancopi81 | null | null | juancopi81/speecht5_finetuned_voxpopuli_es | 0 | 2 | transformers | 2023-08-04T13:53:17 | ---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
- text-to-speech
datasets:
- voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_es
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should proba... | 1,616 | [
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mory91/whisper-tiny-en | 2023-08-14T22:59:46.000Z | [
"transformers",
"pytorch",
"tensorboard",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:PolyAI/minds14",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | mory91 | null | null | mory91/whisper-tiny-en | 0 | 2 | transformers | 2023-08-04T23:04:20 | ---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- PolyAI/minds14
metrics:
- wer
model-index:
- name: whisper-tiny-en
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: PolyAI/minds14
type:... | 1,994 | [
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mikecamara/vit-base-patch16-224-finetuned-flower | 2023-08-05T00:44:30.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | mikecamara | null | null | mikecamara/vit-base-patch16-224-finetuned-flower | 0 | 2 | transformers | 2023-08-05T00:33:22 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: vit-base-patch16-224-finetuned-flower
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then r... | 1,119 | [
[
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BlackSwan1827/ppo-Pyramids | 2023-08-05T04:15:32.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | BlackSwan1827 | null | null | BlackSwan1827/ppo-Pyramids | 0 | 2 | ml-agents | 2023-08-05T04:15:29 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,338 | [
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gaodrew/git-base-pokemon | 2023-08-05T08:51:53.000Z | [
"transformers",
"pytorch",
"tensorboard",
"git",
"text-generation",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | gaodrew | null | null | gaodrew/git-base-pokemon | 0 | 2 | transformers | 2023-08-05T08:06:54 | ---
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-pokemon
results: []
---
<!-- 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. -... | 2,092 | [
[
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0.029388427734375,
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diegomiranda/EleutherAI-70M-cypher-generator | 2023-08-17T00:18:49.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"gpt",
"llm",
"large language model",
"h2o-llmstudio",
"en",
"text-generation-inference",
"region:us"
] | text-generation | diegomiranda | null | null | diegomiranda/EleutherAI-70M-cypher-generator | 0 | 2 | transformers | 2023-08-05T16:27:29 | ---
language:
- en
library_name: transformers
tags:
- gpt
- llm
- large language model
- h2o-llmstudio
inference: false
thumbnail: https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
---
# Model Card
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/... | 8,325 | [
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nokotin/pyramids | 2023-08-05T16:46:54.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | nokotin | null | null | nokotin/pyramids | 0 | 2 | ml-agents | 2023-08-05T16:46:46 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,328 | [
[
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TheBloke/Llama-2-70B-OASST-1-200-GGML | 2023-09-27T13:01:05.000Z | [
"transformers",
"llama",
"sft",
"en",
"de",
"es",
"fr",
"dataset:OpenAssistant/oasst1",
"license:llama2",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/Llama-2-70B-OASST-1-200-GGML | 9 | 2 | transformers | 2023-08-05T21:38:39 | ---
language:
- en
- de
- es
- fr
license: llama2
tags:
- sft
datasets:
- OpenAssistant/oasst1
model_name: Open-Assistant Llama2 70B SFT OASST
inference: false
model_creator: Jordan Clive
model_link: https://huggingface.co/jordiclive/Llama-2-70b-oasst-1-200
model_type: llama
quantized_by: TheBloke
base_model: jordicliv... | 14,922 | [
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0... |
SmellyKat/Pyramids-ppo | 2023-08-06T13:34:04.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | SmellyKat | null | null | SmellyKat/Pyramids-ppo | 0 | 2 | ml-agents | 2023-08-06T13:33:57 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,334 | [
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Javeria98/donut_final_REAL_DATA_04 | 2023-08-06T18:19:58.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | Javeria98 | null | null | Javeria98/donut_final_REAL_DATA_04 | 0 | 2 | transformers | 2023-08-06T14:41:39 | ---
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut_final_REAL_DATA_04
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and c... | 1,125 | [
[
-0.020843505859375,
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0.033172607421875,
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-0.039215087890625,
-0.0471801757812... |
jannikseus/aspect_extraction_restaurant_reviews | 2023-08-09T21:16:05.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"distilbert",
"token-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | jannikseus | null | null | jannikseus/aspect_extraction_restaurant_reviews | 0 | 2 | transformers | 2023-08-06T20:58:35 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: aspect_extraction_restaurant_reviews
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access ... | 1,854 | [
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kernelmachine/silo-pdswby-1.3b | 2023-08-08T18:50:15.000Z | [
"transformers",
"pytorch",
"text-generation",
"openlm",
"silo",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | kernelmachine | null | null | kernelmachine/silo-pdswby-1.3b | 0 | 2 | transformers | 2023-08-07T01:38:07 | ---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- text-generation
- openlm
- silo
---
# Silo Language Models: Isolating Legal Risk in a Datastore
This is Silo-PDSWBY, first introduced in [Silo Language Models]() by researchers at University of Washington, UC Berkeley, and the Allen Institut... | 4,178 | [
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... |
LuizNeves/DeBERTa-v3-large-vaccine | 2023-09-04T11:21:53.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"text-classification",
"en",
"license:afl-3.0",
"endpoints_compatible",
"region:us"
] | text-classification | LuizNeves | null | null | LuizNeves/DeBERTa-v3-large-vaccine | 0 | 2 | transformers | 2023-08-07T14:14:40 | ---
license: afl-3.0
language:
- en
---
<b>MODEL DESCRIPTION</b>
This model was fine-tuned to classify vaccine headlines.
```cpp
from transformers import pipeline
classifier = pipeline("text-classification", model="LuizNeves/DeBERTa-v3-large-vaccine")
sequence_to_classify = "São Paulo approves vaccination for childr... | 395 | [
[
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0.011... |
alperenunlu/PPO-LunarLander-v2 | 2023-09-15T12:48:05.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | alperenunlu | null | null | alperenunlu/PPO-LunarLander-v2 | 2 | 2 | stable-baselines3 | 2023-08-07T14:41:48 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | 2,495 | [
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... |
ManuVleuBeu/t5_base_answer-aware_eduQG | 2023-08-08T10:31:19.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | ManuVleuBeu | null | null | ManuVleuBeu/t5_base_answer-aware_eduQG | 0 | 2 | transformers | 2023-08-07T15:11:52 | ---
tags:
- generated_from_trainer
model-index:
- name: t5_base_answer-aware_eduQG
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5_base_answer-aware_eduQG
... | 1,250 | [
[
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-... |
nhanpv/phobert-v2-finetuned-timi | 2023-08-09T17:46:25.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | nhanpv | null | null | nhanpv/phobert-v2-finetuned-timi | 0 | 2 | transformers | 2023-08-07T16:28:18 | ---
base_model: nhanpv/phobert-v2-finetuned-timi
tags:
- generated_from_trainer
model-index:
- name: phobert-v2-finetuned-timi
results: []
---
<!-- 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 ... | 1,820 | [
[
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0.0304107666015625,
-0.047332763671875,
-0.02703857421875,
-0.043182373046... |
BVRA/MegaDescriptor-B-224 | 2023-08-29T16:47:50.000Z | [
"wildlife-datasets",
"pytorch",
"image-classification",
"arxiv:2103.14030",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | BVRA | null | null | BVRA/MegaDescriptor-B-224 | 0 | 2 | wildlife-datasets | 2023-08-07T17:34:06 | ---
tags:
- image-classification
library_name: wildlife-datasets
license: cc-by-nc-4.0
---
# Model card for vit_small_patch14_dinov2.lvd142m
A Swin-V image feature model. Superwisely pre-trained on animal re-identification datasets.
## Model Details
- **Model Type:** Animal re-identification / feature backbone
- **M... | 1,452 | [
[
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yogjoshi14/ppo-Huggy | 2023-08-07T18:24:51.000Z | [
"ml-agents",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | reinforcement-learning | yogjoshi14 | null | null | yogjoshi14/ppo-Huggy | 0 | 2 | ml-agents | 2023-08-07T18:24:49 | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | 1,320 | [
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nvbAI/whisper-small-hindi | 2023-08-08T14:06:51.000Z | [
"transformers",
"pytorch",
"whisper",
"automatic-speech-recognition",
"hi",
"license:afl-3.0",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | nvbAI | null | null | nvbAI/whisper-small-hindi | 0 | 2 | transformers | 2023-08-08T01:06:09 | ---
license: afl-3.0
language:
- hi
---
Common Voice data 13 - Hindi - Finetuned - Whisper Small Checkpoint | 108 | [
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TigerResearch/tigerbot-13b-base-v1 | 2023-09-15T06:42:55.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"zh",
"en",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | TigerResearch | null | null | TigerResearch/tigerbot-13b-base-v1 | 4 | 2 | transformers | 2023-08-08T03:53:45 | ---
license: apache-2.0
language:
- zh
- en
---
<div style="width: 100%;">
<img src="http://x-pai.algolet.com/bot/img/logo_core.png" alt="TigerBot" style="width: 20%; display: block; margin: auto;">
</div>
<p align="center">
<font face="黑体" size=5"> A cutting-edge foundation for your very own LLM. </font>
</p>
<p a... | 794 | [
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0.0049285888671... |
Mediocreatmybest/instructblip-flan-t5-xxl_8bit | 2023-08-09T06:58:00.000Z | [
"transformers",
"pytorch",
"instructblip",
"text2text-generation",
"vision",
"image-to-text",
"image-captioning",
"visual-question-answering",
"en",
"arxiv:2301.12597",
"arxiv:2210.11416",
"license:mit",
"autotrain_compatible",
"region:us"
] | image-to-text | Mediocreatmybest | null | null | Mediocreatmybest/instructblip-flan-t5-xxl_8bit | 1 | 2 | transformers | 2023-08-08T05:47:33 | ---
language: en
license: mit
tags:
- vision
- image-to-text
- image-captioning
- visual-question-answering
pipeline_tag: image-to-text
inference: false
---
# BLIP-2, Flan T5-xxl, pre-trained only
BLIP-2 model, leveraging [Flan T5-xxl](https://huggingface.co/google/flan-t5-xxl) (a large language model).
It was introd... | 6,578 | [
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JabrilJacobs/ppo-Pyramids | 2023-08-08T06:32:51.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | JabrilJacobs | null | null | JabrilJacobs/ppo-Pyramids | 0 | 2 | ml-agents | 2023-08-08T06:30:58 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,337 | [
[
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mediabiasgroup/xlm_roberta_veracity | 2023-08-08T11:51:30.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"license:gpl-3.0",
"endpoints_compatible",
"region:us"
] | text-classification | mediabiasgroup | null | null | mediabiasgroup/xlm_roberta_veracity | 0 | 2 | transformers | 2023-08-08T08:01:31 | ---
license: gpl-3.0
widget:
- text: >-
Seitdem hat sich die Gesundheitsversorgung als ein sehr starkes Thema für
die Demokraten erwiesen, die während der Zwischenwahlen 2019 einen
aggressiven Wahlkampf mit diesem Thema führten und 40 Sitze im
US-Repräsentantenhaus hinzugewannen.
---
![veracit... | 336 | [
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... |
Xenova/DeBERTa-v3-base-mnli | 2023-08-08T11:44:08.000Z | [
"transformers.js",
"onnx",
"deberta-v2",
"text-classification",
"zero-shot-classification",
"region:us"
] | zero-shot-classification | Xenova | null | null | Xenova/DeBERTa-v3-base-mnli | 0 | 2 | transformers.js | 2023-08-08T11:32:35 | ---
library_name: "transformers.js"
pipeline_tag: zero-shot-classification
---
https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you ... | 551 | [
[
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0.0029106... |
peterandrew987/modified | 2023-08-08T13:45:02.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | peterandrew987 | null | null | peterandrew987/modified | 0 | 2 | transformers | 2023-08-08T13:33:16 | ---
license: mit
base_model: indobenchmark/indobart-v2
tags:
- generated_from_trainer
datasets:
- squad
metrics:
- rouge
model-index:
- name: modified
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: squad
type: squad
config: p... | 1,912 | [
[
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Xenova/opus-mt-id-en | 2023-09-05T23:08:08.000Z | [
"transformers.js",
"onnx",
"marian",
"text2text-generation",
"translation",
"region:us"
] | translation | Xenova | null | null | Xenova/opus-mt-id-en | 0 | 2 | transformers.js | 2023-08-08T14:49:10 | ---
library_name: transformers.js
pipeline_tag: translation
---
https://huggingface.co/Helsinki-NLP/opus-mt-id-en with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make you... | 529 | [
[
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0.040985107421875,
-0.059295654296875,
-0.047821044921875,
-0.03912353515625,
0.01943969726562... |
TheBloke/MythoMix-L2-13B-GGML | 2023-09-27T13:01:08.000Z | [
"transformers",
"llama",
"en",
"license:llama2",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/MythoMix-L2-13B-GGML | 11 | 2 | transformers | 2023-08-08T17:46:14 | ---
language:
- en
license: llama2
model_name: MythoMix L2 13B
inference: false
model_creator: Gryphe
model_link: https://huggingface.co/Gryphe/MythoMix-L2-13b
model_type: llama
quantized_by: TheBloke
base_model: Gryphe/MythoMix-L2-13b
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: aut... | 15,741 | [
[
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0.... |
mrm8488/mt5-base-ft-rf-02 | 2023-08-08T19:38:41.000Z | [
"transformers",
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | mrm8488 | null | null | mrm8488/mt5-base-ft-rf-02 | 0 | 2 | transformers | 2023-08-08T19:04:47 | ---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
model-index:
- name: mt5-base-ft-rf-02
results: []
---
<!-- 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 comme... | 2,859 | [
[
-0.04345703125,
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0.003612518310546875,
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0.0278167724609375,
0.029144287109375,
-0.05877685546875,
-0.0513916015625,
-0.052001953125,
... |
LovenOO/distilBERT_without_preprocessing_grid_search | 2023-08-14T18:58:44.000Z | [
"transformers",
"pytorch",
"tf",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | LovenOO | null | null | LovenOO/distilBERT_without_preprocessing_grid_search | 0 | 2 | transformers | 2023-08-08T20:53:01 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilBERT_without_preprocessing_grid_search
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had... | 2,423 | [
[
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0.000023484230041503906,
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0.02142333984375,
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-0... |
C-Lo/masked-dataset | 2023-08-08T23:45:45.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | C-Lo | null | null | C-Lo/masked-dataset | 0 | 2 | transformers | 2023-08-08T23:41:15 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: masked-dataset
results: []
---
<!-- 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. -->
# mas... | 1,052 | [
[
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-0.06671142578125,
-0.001966... |
alvin-wen/distilbert-base-uncased-finetuned-wos | 2023-08-09T01:49:39.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"generated_from_trainer",
"dataset:web_of_science",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | alvin-wen | null | null | alvin-wen/distilbert-base-uncased-finetuned-wos | 0 | 2 | transformers | 2023-08-09T01:36:30 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- web_of_science
model-index:
- name: distilbert-base-uncased-finetuned-wos
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... | 1,583 | [
[
-0.034912109375,
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0.0180206298828125,
-0.054290771484375,
-0.04144287109375,
-0.054412841796875,
-... |
renatostrianese/ppoPyramidsTraining | 2023-08-09T02:05:53.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | renatostrianese | null | null | renatostrianese/ppoPyramidsTraining | 0 | 2 | ml-agents | 2023-08-09T02:05:41 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,347 | [
[
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-0.028961181640625,
-0.01591... |
kanixwang/eth-setfit-payment-model_4epoch | 2023-08-09T03:27:48.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | kanixwang | null | null | kanixwang/eth-setfit-payment-model_4epoch | 0 | 2 | sentence-transformers | 2023-08-09T03:27:37 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | 3,702 | [
[
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-0.00224... |
NEO946B/ppo-PyramidsTraining | 2023-08-09T08:12:37.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | NEO946B | null | null | NEO946B/ppo-PyramidsTraining | 0 | 2 | ml-agents | 2023-08-09T08:12:19 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,340 | [
[
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-0.04949951171875,
-0.0286865234375,
-0.0154571... |
jakezou/pyramid | 2023-08-09T08:43:56.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | jakezou | null | null | jakezou/pyramid | 0 | 2 | ml-agents | 2023-08-09T08:43:53 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,327 | [
[
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AIYIYA/my_wr3 | 2023-08-09T13:18:30.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | AIYIYA | null | null | AIYIYA/my_wr3 | 0 | 2 | transformers | 2023-08-09T12:45:42 | ---
base_model: bert-base-chinese
tags:
- generated_from_keras_callback
model-index:
- name: AIYIYA/my_wr3
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# AIYIYA/my_... | 2,499 | [
[
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-0.... |
dimonyara/Llama2-7b-lora-int4 | 2023-08-09T14:32:04.000Z | [
"peft",
"region:us"
] | null | dimonyara | null | null | dimonyara/Llama2-7b-lora-int4 | 0 | 2 | peft | 2023-08-09T14:31:58 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_ty... | 440 | [
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0.032379150390625,
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0.01320648193... |
hasibul1ah/finetuned_bloom_trained_model_bangladataset | 2023-09-22T11:48:04.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bloom",
"text-generation",
"generated_from_trainer",
"license:bigscience-bloom-rail-1.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | hasibul1ah | null | null | hasibul1ah/finetuned_bloom_trained_model_bangladataset | 0 | 2 | transformers | 2023-08-09T15:44:02 | ---
license: bigscience-bloom-rail-1.0
base_model: bigscience/bloom-560m
tags:
- generated_from_trainer
model-index:
- name: finetuned_bloom_trained_model_bangladataset
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pr... | 1,477 | [
[
-0.0285797119140625,
-0.03875732421875,
0.00852203369140625,
0.030242919921875,
-0.0203399658203125,
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-0.0091400146484375,
-0.0153961181640625,
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0.01824951171875,
-0.05914306640625,
-0.045867919921875,
-0.035186767578125,
... |
FlandersMakeAGV/whisper-small-keyword-spotting-m | 2023-08-09T23:10:17.000Z | [
"transformers",
"pytorch",
"tensorboard",
"whisper",
"audio-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | audio-classification | FlandersMakeAGV | null | null | FlandersMakeAGV/whisper-small-keyword-spotting-m | 0 | 2 | transformers | 2023-08-09T15:52:44 | ---
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: whisper-small-keyword-spotting-m
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... | 1,786 | [
[
-0.03338623046875,
-0.032867431640625,
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-0.029144287109375,
-0.01015472412109375,
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... |
muhammadravi251001/fine-tuned-KoreanNLI-KorNLI-with-xlm-roberta-base | 2023-08-11T13:17:53.000Z | [
"transformers",
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | muhammadravi251001 | null | null | muhammadravi251001/fine-tuned-KoreanNLI-KorNLI-with-xlm-roberta-base | 0 | 2 | transformers | 2023-08-09T16:10:44 | ---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: fine-tuned-KoreanNLI-KorNLI-with-xlm-roberta-base
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probabl... | 2,237 | [
[
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-0.047882080078125,
-0.... |
unionai/Llama-2-7b-LoRA-alpaca-cleaned | 2023-08-16T22:20:27.000Z | [
"peft",
"pytorch",
"region:us"
] | null | unionai | null | null | unionai/Llama-2-7b-LoRA-alpaca-cleaned | 0 | 2 | peft | 2023-08-09T16:35:14 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: True
- llm_int8_has_fp16_weigh... | 861 | [
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stoyky/ppo-Huggy | 2023-08-09T18:40:35.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | reinforcement-learning | stoyky | null | null | stoyky/ppo-Huggy | 0 | 2 | ml-agents | 2023-08-09T18:40:27 | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | 1,316 | [
[
-0.040985107421875,
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speechbrain/asr-wav2vec2-commonvoice-14-pt | 2023-08-15T17:27:41.000Z | [
"speechbrain",
"wav2vec2",
"CTC",
"pytorch",
"Transformer",
"automatic-speech-recognition",
"pt",
"dataset:commonvoice.14.0",
"arxiv:2106.04624",
"license:apache-2.0",
"model-index",
"region:us"
] | automatic-speech-recognition | speechbrain | null | null | speechbrain/asr-wav2vec2-commonvoice-14-pt | 1 | 2 | speechbrain | 2023-08-09T20:51:45 | ---
language:
- pt
thumbnail: null
pipeline_tag: automatic-speech-recognition
tags:
- CTC
- pytorch
- speechbrain
- Transformer
license: apache-2.0
datasets:
- commonvoice.14.0
metrics:
- wer
- cer
model-index:
- name: asr-wav2vec2-commonvoice-14-pt
results:
- task:
name: Automatic Speech Recognition
ty... | 4,694 | [
[
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0.016326904296875,
-0.04156494140625,
-0.048553466796875,
-0.058685302734375... |
EgilKarlsen/GPT2_Thunderbird-Anomaly_Baseline | 2023-08-09T22:59:45.000Z | [
"transformers",
"pytorch",
"tensorboard",
"gpt2",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-classification | EgilKarlsen | null | null | EgilKarlsen/GPT2_Thunderbird-Anomaly_Baseline | 0 | 2 | transformers | 2023-08-09T22:40:51 | ---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_Thuderbird-Anomaly_Baseline
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then ... | 1,965 | [
[
-0.028533935546875,
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0.016082763671875,
-0.052703857421875,
-0.04302978515625,
-0.0594177246093... |
agustinl/ppo-Pyramids | 2023-08-09T23:36:42.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | agustinl | null | null | agustinl/ppo-Pyramids | 0 | 2 | ml-agents | 2023-08-09T23:13:56 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,333 | [
[
-0.0406494140625,
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-0.040679931640625,
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... |
Stevross/Astrid-LLama-3B-GPU | 2023-08-10T07:56:12.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"gpt",
"llm",
"large language model",
"h2o-llmstudio",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Stevross | null | null | Stevross/Astrid-LLama-3B-GPU | 0 | 2 | transformers | 2023-08-10T00:05:32 | ---
language:
- en
library_name: transformers
tags:
- gpt
- llm
- large language model
- h2o-llmstudio
inference: true
thumbnail: https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
---
# Model Card
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/h... | 7,897 | [
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0.0038375... |
xtuner/Llama-2-7b-qlora-moss-003-sft | 2023-09-20T15:53:06.000Z | [
"peft",
"conversational",
"dataset:fnlp/moss-003-sft-data",
"region:us"
] | conversational | xtuner | null | null | xtuner/Llama-2-7b-qlora-moss-003-sft | 2 | 2 | peft | 2023-08-10T03:38:37 | ---
library_name: peft
datasets:
- fnlp/moss-003-sft-data
pipeline_tag: conversational
base_model: meta-llama/Llama-2-7b-hf
---
<div align="center">
<img src="https://github.com/InternLM/lmdeploy/assets/36994684/0cf8d00f-e86b-40ba-9b54-dc8f1bc6c8d8" width="600"/>
[![Generic badge](https://img.shields.io/badge/GitH... | 4,280 | [
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0.0... |
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