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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-9 | 2023-10-16T05:05:01.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-9 | 0 | 2 | transformers | 2023-10-16T04:48:14 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-9
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... | 1,980 | [
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0.0155029296875,
0.02801513671875,
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-0.050048828125,
-0.039276123046875,
-0.016128... |
t4ai/albert-finetuned-t3-qa | 2023-10-16T12:24:05.000Z | [
"transformers",
"tf",
"albert",
"question-answering",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | t4ai | null | null | t4ai/albert-finetuned-t3-qa | 0 | 2 | transformers | 2023-10-16T06:03:32 | ---
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_keras_callback
model-index:
- name: t4ai/albert-finetuned-t3-qa
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 ... | 1,532 | [
[
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0.0177001953125,
-0.05047607421875,
-0.046630859375,
-0.0506591796875,
-0.0112... |
kt220/my_review_model | 2023-10-24T06:46:32.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | kt220 | null | null | kt220/my_review_model | 0 | 2 | transformers | 2023-10-16T09:11:18 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_review_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... | 1,432 | [
[
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maywell/Synatra_TbIN01M_ST02 | 2023-10-18T10:43:40.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | maywell | null | null | maywell/Synatra_TbIN01M_ST02 | 0 | 2 | transformers | 2023-10-16T09:21:59 | ---
language:
- ko
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-4.0
---
# **Synatra_TbIN01M_ST02**
Made by StableFluffy
**Contact (Do not Contact for personal things.)**
Discord : is.maywell
Telegram : AlzarTakkarsen
## License
This model is strictly [*non-commercial*](https://cre... | 1,115 | [
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basilepp19/cpv-it5 | 2023-10-16T10:14:02.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | basilepp19 | null | null | basilepp19/cpv-it5 | 0 | 2 | transformers | 2023-10-16T10:03:24 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: model_5M
results: []
---
# model_5M
This model is a fine-tuned version of [gsarti/it5-large](https://huggingface.co/gsarti/it5-large) on a dataset of Common Procurement Vocabulary (CPV) codes.
## Model description
The model is trained on ... | 1,206 | [
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basilepp19/cpv-it5-base | 2023-10-16T10:19:43.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | basilepp19 | null | null | basilepp19/cpv-it5-base | 0 | 2 | transformers | 2023-10-16T10:16:39 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: model_5M_base
results: []
---
# model_5M_base
This model is a fine-tuned version of [gsarti/it5-base](https://huggingface.co/gsarti/it5-base) on a dataset of Common Procurement Vocabulary (CPV) codes.
## Model description
The model is tr... | 1,215 | [
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0.0355224609375,
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... |
presencesw/DSC-Believer-SBERT | 2023-10-16T11:10:57.000Z | [
"sentence-transformers",
"pytorch",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"vietnamese",
"endpoints_compatible",
"region:us"
] | sentence-similarity | presencesw | null | null | presencesw/DSC-Believer-SBERT | 0 | 2 | sentence-transformers | 2023-10-16T10:58:58 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
- vietnamese
---
# {vietnamese-sbert}
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... | 3,886 | [
[
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0.005275726318359375,
0.01666259765625,
0.032684326171875,
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-0.04931640625,
-0.054046630859375,
0.00841522... |
imdatta0/qwen-stories-r163e5-3039 | 2023-10-16T12:51:57.000Z | [
"peft",
"region:us"
] | null | imdatta0 | null | null | imdatta0/qwen-stories-r163e5-3039 | 0 | 2 | peft | 2023-10-16T12:51:54 | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.5.0
- PEFT 0.5.0
| 101 | [
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ai-ar/simple-classification | 2023-10-16T15:33:43.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | ai-ar | null | null | ai-ar/simple-classification | 0 | 2 | transformers | 2023-10-16T13:31:07 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: simple-classification
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: pla... | 1,659 | [
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... |
baketsu/autotrain-bart-summarization-95434146369 | 2023-10-16T14:18:45.000Z | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"autotrain",
"summarization",
"unk",
"dataset:baketsu/autotrain-data-bart-summarization",
"co2_eq_emissions",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | summarization | baketsu | null | null | baketsu/autotrain-bart-summarization-95434146369 | 0 | 2 | transformers | 2023-10-16T13:53:05 | ---
tags:
- autotrain
- summarization
language:
- unk
widget:
- text: "I love AutoTrain"
datasets:
- baketsu/autotrain-data-bart-summarization
co2_eq_emissions:
emissions: 0.2675471486352461
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 95434146369
- CO2 Emissions (in grams): 0.2675
... | 729 | [
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0.0032... |
desarrolloasesoreslocales/SetFitPruebaMulti2 | 2023-10-16T14:18:21.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"setfit",
"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | desarrolloasesoreslocales | null | null | desarrolloasesoreslocales/SetFitPruebaMulti2 | 0 | 2 | sentence-transformers | 2023-10-16T14:17:36 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# desarrolloasesoreslocales/SetFitPruebaMulti2
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an effici... | 1,577 | [
[
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0.03472900390625,
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Hudhayfah/TestRepo | 2023-10-16T16:27:24.000Z | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"conversational",
"en",
"dataset:Fredithefish/openassistant-guanaco-unfiltered",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | conversational | Hudhayfah | null | null | Hudhayfah/TestRepo | 0 | 2 | transformers | 2023-10-16T16:12:23 | ---
language:
- en
license: apache-2.0
library_name: transformers
datasets:
- Fredithefish/openassistant-guanaco-unfiltered
model_name: Guanaco 3B Uncensored v2
inference: true
model_creator: Fredithefish
model_link: https://huggingface.co/Fredithefish/Guanaco-3B-Uncensored-v2
model_type: gptneox
pipeline_tag: conversa... | 15,867 | [
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loganathanspr/distilbert-base-uncased-finetuned-imdb | 2023-10-16T18:23:45.000Z | [
"transformers",
"pytorch",
"distilbert",
"fill-mask",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | loganathanspr | null | null | loganathanspr/distilbert-base-uncased-finetuned-imdb | 0 | 2 | transformers | 2023-10-16T18:17:43 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pro... | 1,465 | [
[
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-0.03778076171875,
-0.06182861328... |
smangrul/codellama-13b-personal-copilot-fa2 | 2023-10-19T12:52:01.000Z | [
"peft",
"generated_from_trainer",
"license:llama2",
"region:us"
] | null | smangrul | null | null | smangrul/codellama-13b-personal-copilot-fa2 | 0 | 2 | peft | 2023-10-16T19:04:29 | ---
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: codellama/CodeLlama-13b-hf
model-index:
- name: codellama-13b-personal-copilot-fa2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofr... | 2,879 | [
[
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... |
hasan-mr/t5-small-finetuned-billsum-summarization | 2023-10-17T02:32:47.000Z | [
"transformers",
"tf",
"t5",
"text2text-generation",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | hasan-mr | null | null | hasan-mr/t5-small-finetuned-billsum-summarization | 0 | 2 | transformers | 2023-10-17T02:22:46 | ---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: hasan-mr/t5-small-finetuned-billsum-summarization
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete ... | 2,052 | [
[
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0.0205078125,
0.0102081298828125,
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-0.053192138671875,
-0.055450439453125,
-0.0071105... |
jz703/wav2vec2_lj_speech_phonemes_word_level | 2023-10-18T11:36:48.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | jz703 | null | null | jz703/wav2vec2_lj_speech_phonemes_word_level | 0 | 2 | transformers | 2023-10-17T02:27:44 | ---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2_lj_speech_phonemes_word_level
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probab... | 1,505 | [
[
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... |
xudong2023ucas/llama-2-70b-lora | 2023-10-17T09:44:41.000Z | [
"peft",
"region:us"
] | null | xudong2023ucas | null | null | xudong2023ucas/llama-2-70b-lora | 0 | 2 | peft | 2023-10-17T03:25:34 | ---
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: False
- llm_int8_has_fp16_weig... | 464 | [
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0.01142120361328... |
LoneStriker/OpenHermes-2-Mistral-7B-3.0bpw-h6-exl2 | 2023-10-17T03:44:32.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/OpenHermes-2-Mistral-7B-3.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-17T03:44:22 | ---
base_model: mistralai/Mistral-7B-v0.1
tags:
- mistral
- instruct
- finetune
- chatml
- gpt4
- synthetic data
- distillation
model-index:
- name: OpenHermes-2-Mistral-7B
results: []
license: apache-2.0
language:
- en
---
# OpenHermes 2 - Mistral 7B
 model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semanti... | 2,663 | [
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-0.0... |
TheAIchemist13/whisper-hindi-base-2 | 2023-10-17T12:31:59.000Z | [
"transformers",
"pytorch",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | TheAIchemist13 | null | null | TheAIchemist13/whisper-hindi-base-2 | 0 | 2 | transformers | 2023-10-17T10:20:15 | ---
license: apache-2.0
base_model: TheAIchemist13/whisper-hindi-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-hindi-base-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and... | 1,868 | [
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Villekom/gpt3-finnish-13B-sft-4epoch | 2023-10-18T11:12:44.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bloom",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Villekom | null | null | Villekom/gpt3-finnish-13B-sft-4epoch | 0 | 2 | transformers | 2023-10-17T11:26:55 | ## Prompting
Two special tokens are used to mark the beginning of user and assistant turns:
`<|prompter|>` and `<|assistant|>`. Each turn ends with a '</s>' token.
Input prompt example:
```
<|prompter|>Mikä on meemi ja mikä on tämän sanan historia?</s><|assistant|>
```
The input ends with the `<|assistant|>` token to... | 389 | [
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PandaLLMCommunity/panda-index-large-en | 2023-10-17T13:56:09.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | sentence-similarity | PandaLLMCommunity | null | null | PandaLLMCommunity/panda-index-large-en | 0 | 2 | sentence-transformers | 2023-10-17T13:34:17 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semant... | 1,520 | [
[
-0.02056884765625,
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0.040740966796875,
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-0.04632568359375,
-0.038848876953125,
... |
abelkrw/beans_image_classification | 2023-10-17T16:00:06.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:beans",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | abelkrw | null | null | abelkrw/beans_image_classification | 0 | 2 | transformers | 2023-10-17T15:56:56 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
model-index:
- name: beans_image_classification
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: beans
type: bea... | 2,355 | [
[
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brjezierski/sentence-embeddings-similarity-ai-car | 2023-10-17T17:04:12.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | sentence-similarity | brjezierski | null | null | brjezierski/sentence-embeddings-similarity-ai-car | 0 | 2 | sentence-transformers | 2023-10-17T17:02:09 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
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 like clustering or semanti... | 2,341 | [
[
-0.019012451171875,
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TheBloke/Thespis-13B-v0.3-GPTQ | 2023-10-17T17:40:15.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Thespis-13B-v0.3-GPTQ | 1 | 2 | transformers | 2023-10-17T17:10:32 | ---
base_model: cgato/Thespis-13b-v0.3
inference: false
license: llama2
model_creator: c.gato
model_name: Thespis 13B v0.3
model_type: llama
prompt_template: "{system_message}\n\nUsername: {prompt}\nBotName: \n"
quantized_by: TheBloke
---
<!-- markdownlint-disable MD041 -->
<!-- header start -->
<!-- 200823 -->
<div s... | 19,191 | [
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tanvi0915/network-traffic-llama | 2023-10-17T17:56:40.000Z | [
"peft",
"arxiv:1910.09700",
"region:us"
] | null | tanvi0915 | null | null | tanvi0915/network-traffic-llama | 0 | 2 | peft | 2023-10-17T17:54:09 | ---
library_name: peft
base_model: NousResearch/Llama-2-7b-chat-hf
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared ... | 5,454 | [
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UBC-NLP/serengeti-E110 | 2023-10-26T03:22:57.000Z | [
"transformers",
"pytorch",
"electra",
"feature-extraction",
"Masked Langauge Model",
"fill-mask",
"aa",
"af",
"am",
"ak",
"bm",
"ff",
"fon",
"ha",
"ig",
"ki",
"lg",
"ln",
"mg",
"nr",
"om",
"rn",
"run",
"sw",
"sn",
"tn",
"ti",
"ve",
"wo",
"xh",
"yo",
"zu"... | fill-mask | UBC-NLP | null | null | UBC-NLP/serengeti-E110 | 1 | 2 | transformers | 2023-10-17T18:39:48 | ---
pipeline_tag: fill-mask
language:
- aa
- af
- am
- ak
- bm
- ff
- fon
- ha
- ig
- ki
- lg
- ln
- mg
- nr
- om
- rn
- run
- sw
- sn
- tn
- ti
- ve
- wo
- xh
- yo
- zu
tags:
- Masked Langauge Model
widget:
- text: ẹ jọwọ , ẹ <mask> mi.
- text: gbọ́ <mask> láìfọ̀rọ̀ gùn rárá.
---
<p align="center">
<br>
<img... | 6,845 | [
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0.021... |
catweld/translation_flan_base_v3 | 2023-10-17T19:55:58.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | catweld | null | null | catweld/translation_flan_base_v3 | 0 | 2 | transformers | 2023-10-17T19:10:54 | ---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: translation_flan_base_v3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... | 3,332 | [
[
-0.046417236328125,
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0.0103607177734375,
0.005767822265625,
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0.041473388671875,
0.025299072265625,
-0.044036865234375,
-0.049346923828125,
-0.04727172851562... |
UBC-NLP/serengeti-E250 | 2023-10-26T03:18:27.000Z | [
"transformers",
"pytorch",
"electra",
"feature-extraction",
"Masked Langauge Model",
"fill-mask",
"aa",
"af",
"am",
"ak",
"bm",
"ff",
"fon",
"ha",
"ig",
"ki",
"lg",
"ln",
"mg",
"nr",
"om",
"rn",
"run",
"sw",
"sn",
"tn",
"ti",
"ve",
"wo",
"xh",
"yo",
"zu"... | fill-mask | UBC-NLP | null | null | UBC-NLP/serengeti-E250 | 0 | 2 | transformers | 2023-10-17T19:15:18 | ---
pipeline_tag: fill-mask
language:
- aa
- af
- am
- ak
- bm
- ff
- fon
- ha
- ig
- ki
- lg
- ln
- mg
- nr
- om
- rn
- run
- sw
- sn
- tn
- ti
- ve
- wo
- xh
- yo
- zu
tags:
- Masked Langauge Model
widget:
- text: ẹ jọwọ , ẹ <mask> mi.
- text: gbọ́ <mask> láìfọ̀rọ̀ gùn rárá.
---
<p align="center">
<br>
<img... | 6,955 | [
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smdesai/blip2-flan-t5-xxl | 2023-10-17T20:56:04.000Z | [
"transformers",
"pytorch",
"blip-2",
"visual-question-answering",
"vision",
"image-to-text",
"image-captioning",
"en",
"arxiv:2301.12597",
"arxiv:2210.11416",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-to-text | smdesai | null | null | smdesai/blip2-flan-t5-xxl | 0 | 2 | transformers | 2023-10-17T20:13:28 | ---
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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lljllll2219/mt5-base-xlsum | 2023-10-17T21:18:33.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"summarization",
"generated_from_trainer",
"dataset:xlsum",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | summarization | lljllll2219 | null | null | lljllll2219/mt5-base-xlsum | 0 | 2 | transformers | 2023-10-17T20:45:54 | ---
license: apache-2.0
base_model: google/mt5-base
tags:
- summarization
- generated_from_trainer
datasets:
- xlsum
metrics:
- rouge
model-index:
- name: mt5-base-xlsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: xlsum
type: xl... | 2,053 | [
[
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LoneStriker/Mistral-7b-Phibrarian-32k-3.0bpw-h6-exl2 | 2023-10-17T21:13:49.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/Mistral-7b-Phibrarian-32k-3.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-17T21:13:37 | ---
license: llama2
---
Training is currently still underway, but this is the first epoch of a 32k context fine-tuning run of Mistral-7b over the following datasets:
- emrgnt-cmplxty/sciphi-textbooks-are-all-you-need
- open-phi/rag-textbook-instruct-full
- open-phi/programming_books_llama
- open-phi/textbooks... | 384 | [
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-0.01747131347... |
LoneStriker/Mistral-7b-Phibrarian-32k-4.0bpw-h6-exl2 | 2023-10-17T21:20:56.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/Mistral-7b-Phibrarian-32k-4.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-17T21:20:43 | ---
license: llama2
---
Training is currently still underway, but this is the first epoch of a 32k context fine-tuning run of Mistral-7b over the following datasets:
- emrgnt-cmplxty/sciphi-textbooks-are-all-you-need
- open-phi/rag-textbook-instruct-full
- open-phi/programming_books_llama
- open-phi/textbooks... | 384 | [
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-0.0272979736328125,
-0.01747131347... |
google/seahorse-large-q4 | 2023-10-26T22:00:08.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2305.13194",
"arxiv:2204.04991",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | google | null | null | google/seahorse-large-q4 | 0 | 2 | transformers | 2023-10-17T21:34:11 | ---
license: cc-by-4.0
---
This is model based on mT5-L that predicts a binary label for a given article and summary for Q4 (attribution), as defined in the [SEAHORSE paper](https://arxiv.org/abs/2305.13194) (Clark et al., 2023).
It is trained similarly to the [TRUE paper (Honovich et al, 2022)](https://arxiv.org/pdf... | 1,278 | [
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0.02... |
hung200504/bert-base-cased | 2023-10-18T00:20:20.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | hung200504 | null | null | hung200504/bert-base-cased | 0 | 2 | transformers | 2023-10-18T00:20:05 | ---
tags:
- generated_from_trainer
model-index:
- name: bert-base-cased
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. -->
# bert-base-cased
This model was trained... | 943 | [
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sabrinah/BERT-SQuAD | 2023-10-18T07:01:52.000Z | [
"transformers",
"pytorch",
"distilbert",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | sabrinah | null | null | sabrinah/BERT-SQuAD | 0 | 2 | transformers | 2023-10-18T01:14:16 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: PoA
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 remov... | 1,393 | [
[
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0.0026035308837890625,
-0.007045745849609375,
0.0027256011962890625,
0.023101806640625,
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haqishen/ds-2gpu | 2023-10-18T03:15:46.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"gpt",
"llm",
"large language model",
"h2o-llmstudio",
"en",
"text-generation-inference",
"region:us"
] | text-generation | haqishen | null | null | haqishen/ds-2gpu | 0 | 2 | transformers | 2023-10-18T03:13:05 | ---
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/... | 8,038 | [
[
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HansOMEL/QA-bert-base-chinese-Hw1 | 2023-10-21T04:14:49.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | HansOMEL | null | null | HansOMEL/QA-bert-base-chinese-Hw1 | 0 | 2 | transformers | 2023-10-18T03:24:09 | ---
base_model: bert-base-chinese
tags:
- generated_from_trainer
model-index:
- name: QA-bert-base-chinese-Hw1
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. -->
# ... | 1,394 | [
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yeyintaung29/my_awesome_eli5_mlm_model | 2023-10-18T03:50:32.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | yeyintaung29 | null | null | yeyintaung29/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:28:39 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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GhostX38/my_awesome_eli5_mlm_model | 2023-10-18T03:49:42.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | GhostX38 | null | null | GhostX38/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:30:02 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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Nightsinker/my_awesome_eli5_mlm_model | 2023-10-18T03:54:13.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | Nightsinker | null | null | Nightsinker/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:33:19 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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frenchcries/my_awesome_eli5_mlm_model | 2023-10-18T03:50:23.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | frenchcries | null | null | frenchcries/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:33:29 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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Ashsyura/my_awesome_eli5_mlm_model | 2023-10-18T03:53:59.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | Ashsyura | null | null | Ashsyura/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:33:40 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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NiceDanger4U/my_awesome_eli5_mlm_model | 2023-10-18T03:51:48.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | NiceDanger4U | null | null | NiceDanger4U/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:33:42 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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... |
PHILANDER/my_awesome_eli5_mlm_model | 2023-10-18T03:50:42.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | PHILANDER | null | null | PHILANDER/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:33:44 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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jerrsz/my_awesome_eli5_mlm_model | 2023-10-18T13:03:03.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | jerrsz | null | null | jerrsz/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:33:44 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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... |
vulture/my_awesome_eli5_mlm_model | 2023-10-18T03:53:26.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | vulture | null | null | vulture/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:33:53 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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ghzc/my_awesome_eli5_mlm_model | 2023-10-18T03:51:43.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | ghzc | null | null | ghzc/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:34:04 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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Obanana/my_awesome_eli5_mlm_model | 2023-10-18T03:50:51.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | Obanana | null | null | Obanana/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:34:09 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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yongxiangfoo/my_awesome_eli5_mlm_model | 2023-10-18T03:49:20.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | yongxiangfoo | null | null | yongxiangfoo/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:34:14 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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Calibae/my_awesome_eli5_mlm_model | 2023-10-18T03:53:04.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | Calibae | null | null | Calibae/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:34:43 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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Pssssss/my_awesome_eli5_mlm_model | 2023-10-18T03:52:36.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | Pssssss | null | null | Pssssss/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:34:46 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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Cecilia0409/my_awesome_eli5_mlm_model | 2023-10-18T03:51:19.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | Cecilia0409 | null | null | Cecilia0409/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:35:04 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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NYP-J/my_awesome_eli5_mlm_model | 2023-10-18T03:50:55.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | NYP-J | null | null | NYP-J/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:35:48 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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Afishally/my_awesome_eli5_mlm_model | 2023-10-18T03:54:53.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | Afishally | null | null | Afishally/my_awesome_eli5_mlm_model | 0 | 2 | transformers | 2023-10-18T03:38:29 | ---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_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... | 1,403 | [
[
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openaccess-ai-collective/neft-exp1 | 2023-10-18T04:16:32.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | openaccess-ai-collective | null | null | openaccess-ai-collective/neft-exp1 | 0 | 2 | transformers | 2023-10-18T03:54:48 | ---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: out
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. ... | 2,605 | [
[
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LoneStriker/speechless-code-mistral-7b-v1.0-recalibrate-6.0bpw-h6-exl2 | 2023-10-18T04:46:44.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"llama-2",
"code",
"en",
"dataset:jondurbin/airoboros-2.2",
"dataset:Open-Orca/OpenOrca",
"dataset:garage-bAInd/Open-Platypus",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"dataset:TokenBender/python_eval_instruct_51k",
"license... | text-generation | LoneStriker | null | null | LoneStriker/speechless-code-mistral-7b-v1.0-recalibrate-6.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-18T04:35:31 | ---
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- jondurbin/airoboros-2.2
- Open-Orca/OpenOrca
- garage-bAInd/Open-Platypus
- WizardLM/WizardLM_evol_instruct_V2_196k
- TokenBender/python_eval_instruct_51k
tags:
- llama-2
- code
license: llama2
model-index:
- name: SpeechlessCoder
... | 3,119 | [
[
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hung200504/bert-3 | 2023-10-18T07:08:30.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | hung200504 | null | null | hung200504/bert-3 | 0 | 2 | transformers | 2023-10-18T07:03:18 | ---
license: mit
base_model: deepset/tinybert-6l-768d-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-3
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... | 1,073 | [
[
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gokuls/hBERTv1_new_pretrain_48_ver2_mnli | 2023-10-18T14:09:29.000Z | [
"transformers",
"pytorch",
"hybridbert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/hBERTv1_new_pretrain_48_ver2_mnli | 0 | 2 | transformers | 2023-10-18T07:08:15 | ---
language:
- en
base_model: gokuls/bert_12_layer_model_v1_complete_training_new_48
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: hBERTv1_new_pretrain_48_ver2_mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: G... | 2,337 | [
[
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hung200504/distil-bert-6 | 2023-10-18T08:31:00.000Z | [
"transformers",
"pytorch",
"distilbert",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | hung200504 | null | null | hung200504/distil-bert-6 | 0 | 2 | transformers | 2023-10-18T08:30:50 | ---
license: apache-2.0
base_model: distilbert-base-cased-distilled-squad
tags:
- generated_from_trainer
model-index:
- name: distil-bert-6
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... | 1,111 | [
[
-0.03564453125,
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phlobo/xmen-es-ce-medmentions | 2023-10-18T09:32:35.000Z | [
"xmen",
"pytorch",
"xlm-roberta",
"medical",
"arxiv:2310.11275",
"region:us"
] | null | phlobo | null | null | phlobo/xmen-es-ce-medmentions | 0 | 2 | xmen | 2023-10-18T08:53:10 | ---
library_name: xmen
tags:
- medical
---
xMEN cross-encoder model trained on machine-translated version of MedMentions.
For details, see: https://github.com/hpi-dhc/xmen and https://arxiv.org/abs/2310.11275 | 210 | [
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TheBloke/Euryale-1.3-L2-70B-GGUF | 2023-10-18T09:45:31.000Z | [
"transformers",
"llama",
"en",
"license:llama2",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/Euryale-1.3-L2-70B-GGUF | 5 | 2 | transformers | 2023-10-18T09:22:19 | ---
base_model: Sao10K/Euryale-1.3-L2-70B
inference: false
language:
- en
license: llama2
model_creator: Saofiq
model_name: Euryale 1.3 L2 70B
model_type: llama
prompt_template: 'Below is an instruction that describes a task. Write a response
that appropriately completes the request.
### Instruction:
{prompt}
... | 18,699 | [
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lucas-meyer/xls-r-fleurs_zu-run1 | 2023-10-19T15:18:11.000Z | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:audiofolder",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | lucas-meyer | null | null | lucas-meyer/xls-r-fleurs_zu-run1 | 0 | 2 | transformers | 2023-10-18T09:38:03 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-300m-fleurs_zu-run1
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: audiofolder
type: audiofolder
... | 2,590 | [
[
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amanpelago/pelago-sentence-transformer-v2 | 2023-10-18T09:44:59.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | sentence-similarity | amanpelago | null | null | amanpelago/pelago-sentence-transformer-v2 | 0 | 2 | sentence-transformers | 2023-10-18T09:44:53 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# amanpelago/pelago-sentence-transformer-v2
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 tas... | 2,507 | [
[
-0.0224761962890625,
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... |
brjezierski/sentence-embeddings-similarity-distill-consistency | 2023-10-18T09:51:07.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | sentence-similarity | brjezierski | null | null | brjezierski/sentence-embeddings-similarity-distill-consistency | 0 | 2 | sentence-transformers | 2023-10-18T09:49:11 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
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 like clustering or semanti... | 2,718 | [
[
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MarioNapoli/DynamicWav2Vec_TEST_13 | 2023-10-18T10:10:30.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"generated_from_trainer",
"dataset:common_voice_1_0",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | MarioNapoli | null | null | MarioNapoli/DynamicWav2Vec_TEST_13 | 0 | 2 | transformers | 2023-10-18T10:09:30 | ---
license: apache-2.0
base_model: joorock12/wav2vec2-large-xlsr-italian
tags:
- generated_from_trainer
datasets:
- common_voice_1_0
metrics:
- wer
model-index:
- name: DynamicWav2Vec_TEST_13
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to... | 1,603 | [
[
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0.0250701904296875,
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hung200504/bert-8 | 2023-10-18T10:19:02.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | hung200504 | null | null | hung200504/bert-8 | 0 | 2 | transformers | 2023-10-18T10:11:53 | ---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-8
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 co... | 1,137 | [
[
-0.040130615234375,
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-0... |
waldie/Dans-AdventurousWinds-Mk2-7b-8bpw-h8-exl2 | 2023-10-18T12:09:49.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:PocketDoc/Floyd-Text-Adventures",
"dataset:PocketDoc/Choose-Your-Story-Long-Text-Adventures",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | waldie | null | null | waldie/Dans-AdventurousWinds-Mk2-7b-8bpw-h8-exl2 | 0 | 2 | transformers | 2023-10-18T11:37:31 | ---
language:
- en
datasets:
- PocketDoc/Floyd-Text-Adventures
- PocketDoc/Choose-Your-Story-Long-Text-Adventures
license: apache-2.0
---
quant of [PocketDoc's](https://huggingface.co/PocketDoc) [Dans-AdventurousWinds-Mk2-7b](https://huggingface.co/PocketDoc/Dans-AdventurousWinds-Mk2-7b)
```
python3 convert.py \
... | 485 | [
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stmtstk/elyza-ELYZA-japanese-Llama-2-7b-instruct-instruct-20231018-attck-etda-blog-0 | 2023-10-18T12:12:05.000Z | [
"transformers",
"pytorch",
"tensorboard",
"llama",
"text-generation",
"autotrain",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | stmtstk | null | null | stmtstk/elyza-ELYZA-japanese-Llama-2-7b-instruct-instruct-20231018-attck-etda-blog-0 | 0 | 2 | transformers | 2023-10-18T12:08:38 | ---
tags:
- autotrain
- text-generation
widget:
- text: "I love AutoTrain because "
---
# Model Trained Using AutoTrain | 120 | [
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hung200504/bert-12 | 2023-10-18T12:10:38.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | hung200504 | null | null | hung200504/bert-12 | 0 | 2 | transformers | 2023-10-18T12:09:59 | ---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-12
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 c... | 4,566 | [
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brjezierski/sentence-embeddings-combined-ai_car-sim-class | 2023-10-18T12:48:38.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | sentence-similarity | brjezierski | null | null | brjezierski/sentence-embeddings-combined-ai_car-sim-class | 0 | 2 | sentence-transformers | 2023-10-18T12:47:04 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
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 like clustering or semanti... | 2,663 | [
[
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deronDi/t5-finetuned-event-extract | 2023-10-18T23:44:06.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | deronDi | null | null | deronDi/t5-finetuned-event-extract | 0 | 2 | transformers | 2023-10-18T14:02:08 | ---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-finetuned-event-extract
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... | 75,991 | [
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0... |
nlplabtdtu/distilbert-base-uncased-senformer | 2023-10-18T14:21:48.000Z | [
"sentence-transformers",
"pytorch",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | nlplabtdtu | null | null | nlplabtdtu/distilbert-base-uncased-senformer | 0 | 2 | sentence-transformers | 2023-10-18T14:17:54 | ---
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... | 3,882 | [
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gokuls/hBERTv2_new_pretrain_48_ver2_mnli | 2023-10-19T12:39:15.000Z | [
"transformers",
"pytorch",
"hybridbert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/hBERTv2_new_pretrain_48_ver2_mnli | 0 | 2 | transformers | 2023-10-18T14:58:05 | ---
language:
- en
base_model: gokuls/bert_12_layer_model_v2_complete_training_new_48
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: hBERTv2_new_pretrain_48_ver2_mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: G... | 2,588 | [
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-0.01556396484375,
0.0207977294921875,
0.028106689453125,
-0.055206298828125,
-0.039276123046875,
-0.04559326171875,
... |
aboudaladdin/distilbert-base-uncased-finetuned-emotion | 2023-10-18T15:29:36.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | aboudaladdin | null | null | aboudaladdin/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-10-18T15:04:50 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- emotion
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probab... | 1,550 | [
[
-0.03948974609375,
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0.02227783203125,
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0.008697509765625,
-0.056182861328125,
-0.050323486328125,
-0.0584716796875,
... |
sharkMeow/BERT-QA-b8 | 2023-10-19T15:29:17.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | sharkMeow | null | null | sharkMeow/BERT-QA-b8 | 0 | 2 | transformers | 2023-10-18T15:36:12 | ---
tags:
- generated_from_trainer
model-index:
- name: BERT-QA-b8
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. -->
# BERT-QA-b8
This model is a fine-tuned versi... | 3,794 | [
[
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PaulKMandal/CONTACT_setfit_v1 | 2023-10-18T16:17:30.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"setfit",
"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | PaulKMandal | null | null | PaulKMandal/CONTACT_setfit_v1 | 0 | 2 | sentence-transformers | 2023-10-18T16:10:06 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# PaulKMandal/CONTACT_setfit_v1
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot le... | 1,547 | [
[
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fullstuck/Langchain | 2023-10-19T10:05:45.000Z | [
"transformers",
"pytorch",
"mpnet",
"feature-extraction",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | fullstuck | null | null | fullstuck/Langchain | 0 | 2 | transformers | 2023-10-18T16:56:15 | ---
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
model-index:
- name: Langchain
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... | 1,087 | [
[
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LoneStriker/Dans-AdventurousWinds-Mk2-7b-6.0bpw-h6-exl2 | 2023-10-18T18:16:05.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:PocketDoc/Floyd-Text-Adventures",
"dataset:PocketDoc/Choose-Your-Story-Long-Text-Adventures",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/Dans-AdventurousWinds-Mk2-7b-6.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-18T18:15:48 | ---
language:
- en
datasets:
- PocketDoc/Floyd-Text-Adventures
- PocketDoc/Choose-Your-Story-Long-Text-Adventures
license: apache-2.0
---
**16k training sequences**
# What is the model for?
This model is proficient in crafting text-based adventure games. It can both concise replies and more expansive, novel-like des... | 18,240 | [
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-0.018035888671875,
-0.0487060546875,
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catweld/translation_flan_base_v6 | 2023-10-18T19:16:44.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | catweld | null | null | catweld/translation_flan_base_v6 | 0 | 2 | transformers | 2023-10-18T18:34:11 | ---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: translation_flan_base_v6
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... | 5,882 | [
[
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-0.0... |
openaccess-ai-collective/neft-exp2 | 2023-10-18T20:13:17.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | openaccess-ai-collective | null | null | openaccess-ai-collective/neft-exp2 | 1 | 2 | transformers | 2023-10-18T18:45:05 | ---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: out
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. ... | 2,605 | [
[
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... |
pgfeldman/Yelp_French | 2023-10-18T20:46:00.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"arxiv:2204.07483",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | pgfeldman | null | null | pgfeldman/Yelp_French | 0 | 2 | transformers | 2023-10-18T20:33:04 | ---
license: apache-2.0
---
A GPT-2 model finetuned on Yelp reviews of French cuisine restaraunts downloaded from the [Yelp Open Dataset](https://www.yelp.com/dataset). The data from this and subsamples of cuisines are used in the paper [Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transfo... | 474 | [
[
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pgfeldman/Yelp_Chinese | 2023-10-18T20:45:24.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"arxiv:2204.07483",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | pgfeldman | null | null | pgfeldman/Yelp_Chinese | 0 | 2 | transformers | 2023-10-18T20:36:09 | ---
license: apache-2.0
---
A GPT-2 model finetuned on Yelp reviews of Chinese cuisine restaraunts downloaded from the [Yelp Open Dataset](https://www.yelp.com/dataset). The data from this and subsamples of cuisines are used in the paper [Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transf... | 475 | [
[
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0.00527191162109375,
0.032196044921875,
-0.0311279296875,
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tgsc/debertina-base-128k-vocab | 2023-10-18T21:43:36.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"deberta",
"deberta-v3",
"pt",
"pt-br",
"dataset:allenai/c4",
"arxiv:2111.09543",
"arxiv:2003.10555",
"arxiv:2006.03654",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | tgsc | null | null | tgsc/debertina-base-128k-vocab | 0 | 2 | transformers | 2023-10-18T20:53:47 | ---
language: pt
tags:
- deberta
- deberta-v3
- pt
- pt-br
datasets:
- allenai/c4
library_name: transformers
license: mit
---
# DeBERTina
<p align="center">
<img src="https://huggingface.co/tgsc/debertina-base-128k-vocab/resolve/main/DeBERTina.png" alt="DeBERTina"/>
</p>
DeBERTina é um modelo [DeBERTa-v... | 6,975 | [
[
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0.00... |
openaccess-ai-collective/neft-exp3 | 2023-10-18T22:04:20.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | openaccess-ai-collective | null | null | openaccess-ai-collective/neft-exp3 | 0 | 2 | transformers | 2023-10-18T21:49:09 | ---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: out
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. ... | 2,605 | [
[
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smrrazavian/comment-classification | 2023-10-19T12:16:26.000Z | [
"transformers",
"tf",
"roberta",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | smrrazavian | null | null | smrrazavian/comment-classification | 0 | 2 | transformers | 2023-10-18T22:11:46 | ---
license: apache-2.0
base_model: HooshvareLab/roberta-fa-zwnj-base
tags:
- generated_from_keras_callback
model-index:
- name: smrrazavian/comment-classification
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and... | 1,844 | [
[
-0.04266357421875,
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hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-1 | 2023-10-19T01:50:15.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-1 | 0 | 2 | transformers | 2023-10-19T01:44:18 | ---
license: cc-by-nc-sa-4.0
base_model: hfl/chinese-pert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had ac... | 2,002 | [
[
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-0.05419921875,
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... |
LeeRuben/cppe5_use_data_finetuning | 2023-10-19T10:18:10.000Z | [
"transformers",
"pytorch",
"detr",
"object-detection",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | object-detection | LeeRuben | null | null | LeeRuben/cppe5_use_data_finetuning | 0 | 2 | transformers | 2023-10-19T01:46:31 | ---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: cppe5_use_data_finetuning
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... | 1,095 | [
[
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-0.03668212890625,
0.0112152099... |
hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-2 | 2023-10-19T02:01:52.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-2 | 0 | 2 | transformers | 2023-10-19T01:54:48 | ---
license: cc-by-nc-sa-4.0
base_model: hfl/chinese-pert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had ac... | 2,002 | [
[
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-0.05389404296875,
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hw2942/chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-1 | 2023-10-19T02:08:10.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-1 | 0 | 2 | transformers | 2023-10-19T02:02:00 | ---
license: apache-2.0
base_model: hfl/chinese-lert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access ... | 1,997 | [
[
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-0.040985107421875... |
hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-3 | 2023-10-19T02:13:26.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-3 | 0 | 2 | transformers | 2023-10-19T02:06:34 | ---
license: cc-by-nc-sa-4.0
base_model: hfl/chinese-pert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had ac... | 2,002 | [
[
-0.0213165283203125,
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0.023895263671875,
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-... |
hw2942/chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-2 | 2023-10-19T02:18:40.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-2 | 0 | 2 | transformers | 2023-10-19T02:12:28 | ---
license: apache-2.0
base_model: hfl/chinese-lert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access ... | 1,997 | [
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-0.04412841796875,
-0.04122924... |
hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-4 | 2023-10-19T02:25:33.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-4 | 0 | 2 | transformers | 2023-10-19T02:18:07 | ---
license: cc-by-nc-sa-4.0
base_model: hfl/chinese-pert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had ac... | 2,000 | [
[
-0.022369384765625,
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0.024658203125,
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... |
Akash24/my_awesome_model | 2023-10-19T12:02:03.000Z | [
"transformers",
"pytorch",
"albert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Akash24 | null | null | Akash24/my_awesome_model | 0 | 2 | transformers | 2023-10-19T02:20:37 | ---
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_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... | 1,407 | [
[
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0.0318603515625,
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... |
hw2942/chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-3 | 2023-10-19T02:29:20.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-3 | 0 | 2 | transformers | 2023-10-19T02:22:59 | ---
license: apache-2.0
base_model: hfl/chinese-lert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access ... | 1,997 | [
[
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hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-5 | 2023-10-19T02:37:33.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-5 | 0 | 2 | transformers | 2023-10-19T02:30:16 | ---
license: cc-by-nc-sa-4.0
base_model: hfl/chinese-pert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had ac... | 2,002 | [
[
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hw2942/chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-4 | 2023-10-19T02:39:53.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-4 | 0 | 2 | transformers | 2023-10-19T02:33:37 | ---
license: apache-2.0
base_model: hfl/chinese-lert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access ... | 1,997 | [
[
-0.02490234375,
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... |
hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-6 | 2023-10-19T02:49:39.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-6 | 0 | 2 | transformers | 2023-10-19T02:42:16 | ---
license: cc-by-nc-sa-4.0
base_model: hfl/chinese-pert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-6
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had ac... | 2,002 | [
[
-0.0221099853515625,
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0.024322509765625,
-0.055816650390625,
-0.054168701171875,
-0.03726196289062... |
hw2942/chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-5 | 2023-10-19T02:50:48.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-5 | 0 | 2 | transformers | 2023-10-19T02:44:15 | ---
license: apache-2.0
base_model: hfl/chinese-lert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-lert-base-wallstreetcn-morning-news-market-overview-SSE50-f1-5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access ... | 1,997 | [
[
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0.01540374755859375,
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0.0250091552734375,
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... |
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