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621ffdc036468d709f174ee0 | Chakita/Kalbert | Chakita | null | 22 | 945 | False | 2022-03-02T23:29:04Z | 2023-01-04T16:35:49Z | transformers | 0 | 0 | [{"name": "Kalbert", "results": []}] | fill-mask | null | [
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should probably proofread and complete it, then remove this comment. -->
# Kalbert
This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on a kannada ne... | null | [
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621ffdc036468d709f174ee1 | Chakita/KannadaBERT | Chakita | null | 5 | 1,317 | False | 2022-03-02T23:29:04Z | 2021-07-17T05:37:44Z | transformers | 0 | 0 | null | fill-mask | null | [
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621ffdc036468d709f174ee2 | Chakita/gpt2_mwp | Chakita | null | 5 | 726 | False | 2022-03-02T23:29:04Z | 2022-01-26T13:27:23Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174ee3 | Chalponkey/DialoGPT-small-Barry | Chalponkey | null | 6 | 7,363 | False | 2022-03-02T23:29:04Z | 2021-09-11T22:36:06Z | transformers | 0 | 0 | null | text-generation | null | [
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] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
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621ffdc036468d709f174efe | ChaseBread/DialoGPT-small-harrypotter | ChaseBread | null | 1 | 676 | False | 2022-03-02T23:29:04Z | 2021-11-20T02:11:11Z | transformers | 0 | 0 | null | text-generation | null | [
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] | 80feb14b574e14ed722263659a27a82b24274a3a | [
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] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
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621ffdc036468d709f174f13 | CheonggyeMountain-Sherpa/kogpt-trinity-poem | CheonggyeMountain-Sherpa | null | 4 | 903 | False | 2022-03-02T23:29:04Z | 2023-08-11T05:12:17Z | transformers | 1 | 0 | null | text-generation | {"parameters": {"F32": 1162556160, "U8": 25165824}, "total": 1187721984} | [
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621ffdc036468d709f174f1e | Ching/negation_detector | Ching | null | 4 | 1,826 | False | 2022-03-02T23:29:04Z | 2021-10-18T10:32:43Z | transformers | 0 | 0 | null | question-answering | null | [
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} | null | This question answering model was fine tuned to detect negation expressions
How to use:
question: negation
context: That is not safe!
Answer: not
question: negation
context: Weren't we going to go to the moon?
Answer: Weren't | null | null | null | null | null | null | null | [
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621ffdc036468d709f174f20 | Chiuchiyin/DialoGPT-small-Donald | Chiuchiyin | null | 5 | 5,281 | False | 2022-03-02T23:29:04Z | 2022-02-10T20:16:00Z | transformers | 0 | 0 | null | text-generation | null | [
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] | ac54baeb0180ab48773855bb0effd50c65b3ba9b | [
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] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | Donald Trump DialoGPT Model built by following tutorial by [Ruolin Zheng](https://youtu.be/Rk8eM1p_xgM).
The data used for training was 2020 presidential debate.
More work is needed to optimize it. I don't have access to larger VRAM. | null | null | null | null | null | null | null | [
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621ffdc036468d709f174f33 | ChrisVCB/DialoGPT-medium-cmjs | ChrisVCB | null | 6 | 4,720 | False | 2022-03-02T23:29:04Z | 2021-12-10T20:02:45Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174f34 | ChrisVCB/DialoGPT-medium-ej | ChrisVCB | null | 6 | 4,689 | False | 2022-03-02T23:29:04Z | 2021-12-09T03:22:19Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174f3b | Chuah/DialoGPT-small-harrypotter | Chuah | null | 8 | 4,967 | False | 2022-03-02T23:29:04Z | 2021-09-02T09:26:11Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174f3c | ChukSamuels/DialoGPT-small-Dr.FauciBot | ChukSamuels | null | 11 | 6,703 | False | 2022-03-02T23:29:04Z | 2022-01-09T03:03:57Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174f3d | Chun/DialoGPT-large-dailydialog | Chun | null | 8 | 2,171 | False | 2022-03-02T23:29:04Z | 2021-08-08T22:31:47Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174f3e | Chun/DialoGPT-medium-dailydialog | Chun | null | 2 | 902 | False | 2022-03-02T23:29:04Z | 2021-08-06T14:11:34Z | transformers | 1 | 0 | null | text-generation | null | [
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621ffdc036468d709f174f3f | Chun/DialoGPT-small-dailydialog | Chun | null | 4 | 813 | False | 2022-03-02T23:29:04Z | 2021-09-01T16:00:53Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174f45 | Chun/w-en2zh-mtm | Chun | null | 6 | 630 | False | 2022-03-02T23:29:04Z | 2021-08-24T17:32:39Z | transformers | 0 | 0 | null | null | null | [
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621ffdc036468d709f174f46 | Chun/w-en2zh-otm | Chun | null | 4 | 521 | False | 2022-03-02T23:29:04Z | 2021-08-25T02:01:07Z | transformers | 0 | 0 | null | null | null | [
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621ffdc036468d709f174f48 | Chun/w-zh2en-mtm | Chun | null | 1 | 518 | False | 2022-03-02T23:29:04Z | 2021-08-24T14:36:46Z | transformers | 0 | 0 | null | null | null | [
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621ffdc036468d709f174f49 | Chun/w-zh2en-mto | Chun | null | 2 | 512 | False | 2022-03-02T23:29:04Z | 2021-08-25T10:15:30Z | transformers | 0 | 0 | null | null | null | [
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621ffdc036468d709f174f5a | Ciruzzo/DialoGPT-small-harrypotter | Ciruzzo | null | 8 | 2,649 | False | 2022-03-02T23:29:04Z | 2021-09-07T10:47:28Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174f61 | ClaudeCOULOMBE/RickBot | ClaudeCOULOMBE | null | 8 | 899 | False | 2022-03-02T23:29:04Z | 2021-08-12T05:56:47Z | transformers | 0 | 0 | null | text-generation | null | [
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Make your own [here](https://colab.research.google.com/drive/1o5LxBspm-C28HQvXN-PRQavapDbm5WjG?usp=sharing) | null | null | null | null | null | null | null | [
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621ffdc036468d709f174f62 | ClaudeYang/awesome_fb_model | ClaudeYang | null | 14 | 3,671 | False | 2022-03-02T23:29:04Z | 2021-11-15T10:29:01Z | transformers | 1 | 0 | null | zero-shot-classification | null | [
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621ffdc036468d709f174f64 | CleveGreen/FieldClassifier | CleveGreen | null | 5 | 2,308 | False | 2022-03-02T23:29:04Z | 2021-08-17T17:43:35Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174f65 | CleveGreen/FieldClassifier_v2 | CleveGreen | null | 2 | 742 | False | 2022-03-02T23:29:04Z | 2022-02-04T17:36:12Z | transformers | 1 | 0 | null | text-classification | null | [
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621ffdc036468d709f174f66 | CleveGreen/FieldClassifier_v2_gpt | CleveGreen | null | 7 | 695 | False | 2022-03-02T23:29:04Z | 2022-02-16T19:24:10Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174f67 | CleveGreen/JobClassifier | CleveGreen | null | 6 | 2,373 | False | 2022-03-02T23:29:04Z | 2021-08-03T18:10:50Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174f68 | CleveGreen/JobClassifier_v2 | CleveGreen | null | 1 | 968 | False | 2022-03-02T23:29:04Z | 2022-02-04T17:41:13Z | transformers | 1 | 0 | null | text-classification | null | [
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621ffdc036468d709f174f69 | CleveGreen/JobClassifier_v2_gpt | CleveGreen | null | 0 | 952 | False | 2022-03-02T23:29:04Z | 2022-02-16T19:25:04Z | transformers | 1 | 0 | null | text-classification | null | [
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621ffdc036468d709f174f6d | Cloudy/DialoGPT-CJ-large | Cloudy | null | 3 | 548 | False | 2022-03-02T23:29:04Z | 2021-09-03T18:45:18Z | transformers | 0 | 0 | null | null | null | [
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621ffdc036468d709f174f72 | CodeDanCode/CartmenBot | CodeDanCode | null | 20 | 769 | False | 2022-03-02T23:29:04Z | 2021-10-26T12:37:56Z | transformers | 0 | 0 | null | text-generation | null | [
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"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
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"gpt2"
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"text-generation"
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"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174f73 | CodeDanCode/SP-KyleBot | CodeDanCode | null | 7 | 4,013 | False | 2022-03-02T23:29:04Z | 2021-10-24T22:29:48Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
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"pytorch_model.bin",
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"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | b82397494afe3b17b2c053b8953b7d8ee91f89c3 | [
"transformers",
"pytorch",
"gpt2",
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"conversational",
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] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
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"text"
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"text"
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621ffdc036468d709f174f7b | CoderBoy432/DialoGPT-small-harrypotter | CoderBoy432 | null | 6 | 690 | False | 2022-03-02T23:29:04Z | 2022-01-27T11:11:51Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
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"pytorch_model.bin",
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"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 62c7598f45cf74ea7d0f7f865054550072ec1344 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
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] | [
"text"
] | [
"text"
] | [
"text"
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621ffdc036468d709f174f7c | CoderEFE/DialoGPT-marxbot | CoderEFE | null | 9 | 1,386 | False | 2022-03-02T23:29:04Z | 2021-06-07T01:24:25Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 4e12cbe19700342269fa60b995b72c6b0f88a7ab | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | Chat with the model:
```python
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("r3dhummingbird/DialoGPT-marxbot")
model = AutoModelWithLMHead.from_pretrained("r3dhummingbird/DialoGPT-marxbot")
# Let's chat for 4 lines
for step in range(4):
# encode the new us... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174f7d | CoderEFE/DialoGPT-medium-marx | CoderEFE | null | 12 | 1,303 | False | 2022-03-02T23:29:04Z | 2021-06-05T07:08:34Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"TAGS.md",
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"pytorch_model.bin",
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] | 895b4987feee4333c9ab2d85795d0d059287e954 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
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621ffdc036468d709f174f8d | Coldestadam/Breakout_Mentors_SpongeBob_Model | Coldestadam | null | 11 | 2,162 | False | 2022-03-02T23:29:04Z | 2021-07-13T05:27:25Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 7d6ffb51cc99b247810054cf633e5baed74778a2 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
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"text"
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"text"
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621ffdc036468d709f174f8f | ComCom/gpt2-large | ComCom | null | 10 | 694 | False | 2022-03-02T23:29:04Z | 2021-11-15T07:26:07Z | transformers | 0 | 0 | null | feature-extraction | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 744ecfda34efe6a469f7e0eadbb6edacf401864e | [
"transformers",
"pytorch",
"gpt2",
"feature-extraction",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["GPT2Model"], "model_type": "gpt2"} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | null | 해당 모델은 [해당 사이트](https://huggingface.co/gpt2-medium)에서 가져온 모델입니다.
해당 모델은 [Teachable NLP](https://ainize.ai/teachable-nlp) 서비스에서 사용됩니다. | null | null | null | null | null | null | null | [
"gpt2",
"GPT2Model",
"AutoModel"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
621ffdc036468d709f174f90 | ComCom/gpt2-medium | ComCom | null | 7 | 968 | False | 2022-03-02T23:29:04Z | 2021-11-15T07:08:26Z | transformers | 0 | 0 | null | feature-extraction | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 30a7125c51ff3872369d7c0fd06815830d8bd4fa | [
"transformers",
"pytorch",
"gpt2",
"feature-extraction",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["GPT2Model"], "model_type": "gpt2"} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | null | 해당 모델은 [해당 사이트](https://huggingface.co/gpt2-medium)에서 가져온 모델입니다.
해당 모델은 [Teachable NLP](https://ainize.ai/teachable-nlp) 서비스에서 사용됩니다. | null | null | null | null | null | null | null | [
"gpt2",
"GPT2Model",
"AutoModel"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
621ffdc036468d709f174f91 | ComCom/gpt2 | ComCom | null | 3 | 540 | False | 2022-03-02T23:29:04Z | 2021-11-15T04:58:28Z | transformers | 0 | 0 | null | feature-extraction | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 34a2b31c5f1832e471a1faaf964c29cb6949917d | [
"transformers",
"pytorch",
"gpt2",
"feature-extraction",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["GPT2Model"], "model_type": "gpt2"} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | null | 해당 모델은 [해당 사이트](https://huggingface.co/gpt2)에서 가져온 모델입니다.
해당 모델은 [Teachable NLP](https://ainize.ai/teachable-nlp) 서비스에서 사용됩니다. | null | null | null | null | null | null | null | [
"gpt2",
"GPT2Model",
"AutoModel"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
621ffdc036468d709f174f97 | Connor/DialoGPT-small-rick | Connor | null | 2 | 729 | False | 2022-03-02T23:29:04Z | 2021-09-21T11:25:25Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"eval_results.txt",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 8358391c0ec7f5d8359afff632f0dea92e4eceb6 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174f99 | Connorvr/BrightBot-small | Connorvr | null | 8 | 3,589 | False | 2022-03-02T23:29:04Z | 2021-11-11T07:33:58Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
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"tokenizer_config.json",
"training_args.bin",
"training_data.csv",
"vocab.json"
] | c74836e9e613e57b8a934a6c240644db62d27972 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174f9a | Connorvr/TeachingGen | Connorvr | null | 2 | 811 | False | 2022-03-02T23:29:04Z | 2022-03-17T00:14:01Z | transformers | 1 | 0 | [{"name": "model", "results": []}] | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
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"training_args.bin",
"vocab.json"
] | c34a9c13913993a68d14126db7630e4e6a6123f8 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": "model", "pipeline_tag": null, "tags": ["generated_from_trainer"]} | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
## Model description
Mor... | null | [
"mit"
] | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174fab | CopymySkill/DialoGPT-medium-atakan | CopymySkill | null | 6 | 4,927 | False | 2022-03-02T23:29:04Z | 2021-09-23T17:21:59Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"eval_results.txt",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 6ab2da60dc96c0725c0f16b22fcd9ea510caffa0 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174faf | Corvus/DialoGPT-medium-CaptainPrice-Extended | Corvus | null | 7 | 1,263 | False | 2022-03-02T23:29:04Z | 2021-09-20T18:08:36Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 3a4557796e324d3e1c2ff290cb37d04376619de4 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174fb0 | Corvus/DialoGPT-medium-CaptainPrice | Corvus | null | 2 | 837 | False | 2022-03-02T23:29:04Z | 2021-09-20T10:17:14Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | d26bc9fa8969efd15f3af399c94d2006b38d20f7 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174fb9 | Coyotl/DialoGPT-test2-arthurmorgan | Coyotl | null | 2 | 778 | False | 2022-03-02T23:29:04Z | 2021-08-27T23:00:46Z | transformers | 0 | 0 | null | text-generation | null | [
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"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
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] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174fbc | CracklesCreeper/Piglin-Talks-Harry-Potter | CracklesCreeper | null | 4 | 718 | False | 2022-03-02T23:29:04Z | 2021-08-28T08:46:58Z | transformers | 0 | 0 | null | text-generation | null | [
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"vocab.json"
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"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
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] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
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] | [
"text"
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"text"
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621ffdc036468d709f174fc3 | Craig/paraphrase-MiniLM-L6-v2 | Craig | null | 4 | 13,986 | False | 2022-03-02T23:29:04Z | 2021-10-13T15:01:15Z | sentence-transformers | 4 | 0 | null | feature-extraction | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"modules.json",
"pytorch_model.bin",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 7f1c6a384b3f870bdefcb13114cd8a9d2fd06dd1 | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "feature-extraction", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarit... | # sentence-transformers/paraphrase-MiniLM-L6-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 tasks like clustering or semantic search.
This is a clone of the original model, with `pipeline_tag` metadata chang... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
621ffdc036468d709f174fd2 | Crasher222/kaggle-comp-test | Crasher222 | null | 3 | 804 | False | 2022-03-02T23:29:04Z | 2021-10-24T11:40:04Z | transformers | 0 | 0 | null | text-classification | null | [
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"sample_input.pkl",
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"vocab.txt"
] | 8a1b24c9ea55ca4aefda6da2a2e5b2a4bbec687e | [
"transformers",
"pytorch",
"bert",
"text-classification",
"en",
"dataset:Crasher222/autonlp-data-kaggle-test",
"co2_eq_emissions",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
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} | {"base_model": null, "datasets": ["Crasher222/autonlp-data-kaggle-test"], "eval_results": null, "language": "en", "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "widget": [{"text": "I love AutoNLP \ud83e\udd17"}... | # Model Finetuned from BERT-base for
- Problem type: Multi-class Classification
- Model ID: 25805800
## Validation Metrics
- Loss: 0.4422711133956909
- Accuracy: 0.8615328555811976
- Macro F1: 0.8642434650461513
- Micro F1: 0.8615328555811976
- Weighted F1: 0.8617743626671308
- Macro Precision: 0.8649112225076049
- ... | null | null | [
"Crasher222/autonlp-data-kaggle-test"
] | [
"en"
] | null | null | null | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174fdd | CrisLeaf/generador-de-historias-de-tolkien | CrisLeaf | null | 2 | 777 | False | 2022-03-02T23:29:04Z | 2022-01-18T02:57:12Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
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"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 20656410cab68d19c48424985613c5d1438b8bbe | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
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] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174fe0 | Crives/distilbert-base-uncased-finetuned-emotion | Crives | null | 22 | 953 | False | 2022-03-02T23:29:04Z | 2022-02-09T22:08:11Z | transformers | 0 | 0 | [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"name": "Text Classification", "type": "text-classification"}, "dataset": {"name": "emotion", "type": "emotion", "args": "default"}, "metrics": [{"name": "Accuracy", "type": "accuracy", "value": 0.9215, "verified": false}, {"name": "F1", "type... | text-classification | null | [
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"dataset:emotion",
"license:apache-2.0",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForSequenceClassification"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"datasets": ["emotion"], "license": "apache-2.0", "metrics": ["accuracy", "f1"], "tags": ["generated_from_trainer"], "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion", "type": "emotion... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/... | null | [
"apache-2.0"
] | [
"emotion"
] | null | null | null | [
"accuracy",
"f1"
] | [
"DistilBertForSequenceClassification",
"distilbert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174fe4 | Cryptikdw/DialoGPT-small-rick | Cryptikdw | null | 7 | 4,690 | False | 2022-03-02T23:29:04Z | 2021-08-26T19:40:36Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"eval_results.txt",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 3b042c7925bf2da80def42da65a2d07a2d294228 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174fe7 | Cthyllax/DialoGPT-medium-PaladinDanse | Cthyllax | null | 1 | 630 | False | 2022-03-02T23:29:04Z | 2021-09-11T20:48:06Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"checkpoint-3500/config.json",
"checkpoint-3500/merges.txt",
"checkpoint-3500/optimizer.pt",
"checkpoint-3500/pytorch_model.bin",
"checkpoint-3500/scheduler.pt",
"checkpoint-3500/special_tokens_map.json",
"checkpoint-3500/tokenizer.json",
"checkpoint-3500/tokenizer_c... | a619aacbda5d86066008cb36a508938765dbce7e | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174fea | Culmenus/IceBERT-finetuned-ner | Culmenus | null | 3 | 594 | False | 2022-03-02T23:29:04Z | 2021-10-01T15:49:45Z | transformers | 0 | 0 | [{"name": "IceBERT-finetuned-ner", "results": [{"task": {"name": "Token Classification", "type": "token-classification"}, "dataset": {"name": "mim_gold_ner", "type": "mim_gold_ner", "args": "mim-gold-ner"}, "metrics": [{"name": "Precision", "type": "precision", "value": 0.8927335640138409, "verified": false}, {"name": ... | token-classification | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
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"pytorch",
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"token-classification",
"generated_from_trainer",
"dataset:mim_gold_ner",
"license:gpl-3.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false... | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"datasets": ["mim_gold_ner"], "license": "gpl-3.0", "metrics": ["precision", "recall", "f1", "accuracy"], "tags": ["generated_from_trainer"], "model-index": [{"name": "IceBERT-finetuned-ner", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "mim_gold_ner", "typ... | <!-- 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. -->
# IceBERT-finetuned-ner
This model is a fine-tuned version of [vesteinn/IceBERT](https://huggingface.co/vesteinn/IceBERT) on the mi... | null | [
"gpl-3.0"
] | [
"mim_gold_ner"
] | null | null | null | [
"precision",
"recall",
"f1",
"accuracy"
] | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174feb | Culmenus/XLMR-ENIS-finetuned-ner | Culmenus | null | 3 | 521 | False | 2022-03-02T23:29:04Z | 2021-10-01T17:23:19Z | transformers | 0 | 0 | [{"name": "XLMR-ENIS-finetuned-ner", "results": [{"task": {"name": "Token Classification", "type": "token-classification"}, "dataset": {"name": "mim_gold_ner", "type": "mim_gold_ner", "args": "mim-gold-ner"}, "metrics": [{"name": "Precision", "type": "precision", "value": 0.8803619696791632, "verified": false}, {"name"... | token-classification | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"pytorch_model.bin",
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"tensorboard",
"xlm-roberta",
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"generated_from_trainer",
"dataset:mim_gold_ner",
"license:agpl-3.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForTokenClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": fals... | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"datasets": ["mim_gold_ner"], "license": "agpl-3.0", "metrics": ["precision", "recall", "f1", "accuracy"], "tags": ["generated_from_trainer"], "model-index": [{"name": "XLMR-ENIS-finetuned-ner", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "mim_gold_ner", "... | <!-- 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. -->
# XLMR-ENIS-finetuned-ner
This model is a fine-tuned version of [vesteinn/XLMR-ENIS](https://huggingface.co/vesteinn/XLMR-ENIS) on ... | null | [
"agpl-3.0"
] | [
"mim_gold_ner"
] | null | null | null | [
"precision",
"recall",
"f1",
"accuracy"
] | [
"XLMRobertaForTokenClassification",
"AutoModelForTokenClassification",
"xlm-roberta"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174ffa | CurtisBowser/DialoGPT-medium-sora | CurtisBowser | null | 7 | 5,314 | False | 2022-03-02T23:29:04Z | 2022-06-04T19:17:02Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"eval_results.txt",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 8c2d77c3a6fac75cd3600c4669a464ae08ab96c9 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
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621ffdc036468d709f174ffb | CurtisBowser/DialoGPT-small-sora | CurtisBowser | null | 2 | 735 | False | 2022-03-02T23:29:04Z | 2021-10-20T20:36:40Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174ffc | CyberMuffin/DialoGPT-small-ChandlerBot | CyberMuffin | null | 2 | 680 | False | 2022-03-02T23:29:04Z | 2021-09-19T13:04:55Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f175019 | D3xter1922/electra-base-discriminator-finetuned-cola | D3xter1922 | null | 10 | 1,841 | False | 2022-03-02T23:29:04Z | 2022-01-20T01:03:51Z | transformers | 0 | 0 | [{"name": "electra-base-discriminator-finetuned-cola", "results": [{"task": {"name": "Text Classification", "type": "text-classification"}, "dataset": {"name": "glue", "type": "glue", "args": "cola"}, "metrics": [{"name": "Matthews Correlation", "type": "matthews_correlation", "value": 0.6824089073723449, "verified": f... | text-classification | null | [
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"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ElectraForSequenceClassification"], "model_type": "electra", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
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"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"datasets": ["glue"], "license": "apache-2.0", "metrics": ["matthews_correlation"], "tags": ["generated_from_trainer"], "model-index": [{"name": "electra-base-discriminator-finetuned-cola", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "glue", "type": "glue", ... | <!-- 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. -->
# electra-base-discriminator-finetuned-cola
This model is a fine-tuned version of [google/electra-base-discriminator](https://huggi... | null | [
"apache-2.0"
] | [
"glue"
] | null | null | null | [
"matthews_correlation"
] | [
"ElectraForSequenceClassification",
"AutoModelForSequenceClassification",
"electra"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f17501c | DARKVIP3R/DialoGPT-medium-Anakin | DARKVIP3R | null | 2 | 665 | False | 2022-03-02T23:29:04Z | 2022-01-27T01:59:48Z | transformers | 0 | 0 | null | text-generation | null | [
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"pytorch_model.bin",
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"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | ffdb1c1b3d7b61a95d6aa2db1101ed0d53513dd9 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
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] | [
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621ffdc036468d709f17503e | DSI/TweetBasedSA | DSI | null | 1 | 691 | False | 2022-03-02T23:29:04Z | 2021-12-05T08:51:44Z | transformers | 0 | 0 | null | text-classification | null | [
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"config.json",
"pytorch_model.bin",
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] | 537daa619bed898f1592e3669c56ad8bc3bbc697 | [
"transformers",
"pytorch",
"bert",
"text-classification",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
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} | null | null | null | null | null | null | null | null | null | [
"BertForSequenceClassification",
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621ffdc036468d709f175046 | DTAI-KULeuven/robbertje-1-gb-non-shuffled | DTAI-KULeuven | null | 14 | 14,550 | False | 2022-03-02T23:29:04Z | 2022-11-17T10:31:10Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"parameters.json",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 5aa4e6ed10812d7b0b17a8eff7f77531349c2823 | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"nl",
"dataset:oscar",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"license:mit",
"endpoints_compatible",
"deploy:az... | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta"} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["oscar", "dbrd", "lassy-ud", "europarl-mono", "conll2002"], "eval_results": null, "language": "nl", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["Dutch", "Flemish", "RoBERTa", "Ro... | <p align="center">
<img src="https://github.com/iPieter/robbertje/raw/master/images/robbertje_logo_with_name.png" alt="RobBERTje: A collection of distilled Dutch BERT-based models" width="75%">
</p>
# About RobBERTje
RobBERTje is a collection of distilled models based on [RobBERT](http://github.com/iPieter/robbe... | null | [
"mit"
] | [
"oscar",
"dbrd",
"lassy-ud",
"europarl-mono",
"conll2002"
] | [
"nl"
] | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
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621ffdc036468d709f17505c | DaisyMak/bert-finetuned-squad-accelerate-10epoch_transformerfrozen | DaisyMak | null | 69 | 45,718 | False | 2022-03-02T23:29:04Z | 2022-02-02T21:30:47Z | transformers | 0 | 0 | null | question-answering | null | [
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] | 38a0fbdddcb26bedfc182590a24ebc9a843832c3 | [
"transformers",
"pytorch",
"bert",
"question-answering",
"endpoints_compatible",
"deploy:azure",
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] | null | {"architectures": ["BertForQuestionAnswering"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForQuestionAnswering",
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"pipeline_tag": "question-answering",
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} | null | null | null | null | null | null | null | null | null | [
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621ffdc036468d709f17505d | DaisyMak/bert-finetuned-squad-transformerfrozen-testtoken | DaisyMak | null | 2 | 5 | False | 2022-03-02T23:29:04Z | 2022-02-04T17:07:47Z | transformers | 0 | 0 | null | question-answering | null | [
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... | 7b3ca1cd2192bd36326f483b49e3e85e9d59d4eb | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"question-answering",
"endpoints_compatible",
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] | null | {"architectures": ["BertForQuestionAnswering"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
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} | null | null | null | null | null | null | null | null | null | [
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621ffdc036468d709f175060 | Daivakai/DialoGPT-small-saitama | Daivakai | null | 8 | 4,196 | False | 2022-03-02T23:29:04Z | 2021-11-13T19:17:48Z | transformers | 0 | 0 | null | text-generation | null | [
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"vocab.json"
] | 6d462fb980c369c42910e4ad704c8b67306eb4e9 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
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621ffdc036468d709f175066 | DanL/scientific-challenges-and-directions | DanL | null | 8 | 4,532 | False | 2022-03-02T23:29:04Z | 2022-01-19T12:47:22Z | transformers | 0 | 0 | [{"name": "scientific-challenges-and-directions", "results": []}] | text-classification | null | [
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] | d86bd50d2b94e0b592b752b2b1c1674ddea5f65d | [
"transformers",
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"bert",
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"dataset:DanL/scientific-challenges-and-directions-dataset",
"arxiv:2108.13751",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
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"pipeline_tag": "text-classification",
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} | {"base_model": null, "datasets": ["DanL/scientific-challenges-and-directions-dataset"], "eval_results": [], "language": ["en"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": ["precision", "recall", "f1"], "model_name": "scientific-challenges-and-directions", "pipeline_tag... | # scientific-challenges-and-directions
We present a novel resource to help scientists and medical professionals discover challenges and potential directions across scientific literature, focusing on a broad corpus pertaining to the COVID-19 pandemic and related historical research. At a high level, the _challenges_ an... | null | null | [
"DanL/scientific-challenges-and-directions-dataset"
] | [
"en"
] | null | null | [
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] | [
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621ffdc036468d709f17506a | Dandara/bertimbau-socioambiental | Dandara | null | 5 | 1,788 | False | 2022-03-02T23:29:04Z | 2021-09-22T12:27:48Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
"config.json",
"pytorch_model.bin",
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"tokenizer_config.json",
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] | c8a338465f890a05bb424eff909680729e061b80 | [
"transformers",
"pytorch",
"bert",
"text-classification",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
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621ffdc036468d709f17509a | DataikuNLP/camembert-base | DataikuNLP | null | 1,295 | 10,991 | False | 2022-03-02T23:29:04Z | 2021-09-02T08:15:08Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"tf_model.h5",
"tokenizer.json"
] | a7148f9c509892b5eabab292b48e73c694fb3bea | [
"transformers",
"pytorch",
"tf",
"camembert",
"fill-mask",
"fr",
"dataset:oscar",
"arxiv:1911.03894",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["CamembertForMaskedLM"], "model_type": "camembert"} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["oscar"], "eval_results": null, "language": "fr", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # CamemBERT: a Tasty French Language Model
**This model is a copy of [this model repository](https://huggingface.co/camembert-base) at the specific commit `482393b6198924f9da270b1aaf37d238aafca99b`.**
## Introduction
[CamemBERT](https://arxiv.org/abs/1911.03894) is a state-of-the-art language model for French based ... | null | [
"mit"
] | [
"oscar"
] | [
"fr"
] | null | null | null | [
"CamembertForMaskedLM",
"AutoModelForMaskedLM",
"camembert"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
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621ffdc036468d709f17509b | DataikuNLP/distiluse-base-multilingual-cased-v1 | DataikuNLP | null | 4 | 1,235 | False | 2022-03-02T23:29:04Z | 2021-09-02T08:25:03Z | sentence-transformers | 0 | 0 | null | sentence-similarity | null | [
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"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["DistilBertModel"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction", "sentence-similari... | # DataikuNLP/distiluse-base-multilingual-cased-v1
**This model is a copy of [this model repository](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v1) from sentence-transformers at the specific commit `3a706e4d65c04f868c4684adfd4da74141be8732`.**
This is a [sentence-transformers](https... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"AutoModel",
"distilbert",
"DistilBertModel"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
621ffdc036468d709f17509c | DataikuNLP/paraphrase-MiniLM-L6-v2 | DataikuNLP | null | 6 | 819 | False | 2022-03-02T23:29:04Z | 2021-09-02T08:05:59Z | sentence-transformers | 0 | 0 | null | sentence-similarity | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"modules.json",
"pytorch_model.bin",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 134896fc4f79aea0609e9e01433fe91b6093cb38 | [
"sentence-transformers",
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"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction", "sentence-similari... | # DataikuNLP/paraphrase-MiniLM-L6-v2
**This model is a copy of [this model repository](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L6-v2/) from sentence-transformers at the specific commit `c4dfcde8a3e3e17e85cd4f0ec1925a266187f48e`.**
This is a [sentence-transformers](https://www.SBERT.net) model: ... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
621ffdc036468d709f17509d | DataikuNLP/paraphrase-albert-small-v2 | DataikuNLP | null | 4 | 2,608 | False | 2022-03-02T23:29:04Z | 2021-09-01T13:30:27Z | sentence-transformers | 2 | 0 | null | sentence-similarity | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"modules.json",
"pytorch_model.bin",
"sentence_bert_config.json",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json"
] | 94e7d607209b5e81aedd815066e084d7b1e227cd | [
"sentence-transformers",
"pytorch",
"albert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["AlbertModel"], "model_type": "albert", "tokenizer_config": {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": tru... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction", "sentence-similari... | # DataikuNLP/paraphrase-albert-small-v2
**This model is a copy of [this model repository](https://huggingface.co/sentence-transformers/paraphrase-albert-small-v2/) from sentence-transformers at the specific commit `1eb1996223dd90a4c25be2fc52f6f336419a0d52`.**
This is a [sentence-transformers](https://www.SBERT.net) m... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"AlbertModel",
"albert",
"AutoModel"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
621ffdc036468d709f17509e | DataikuNLP/paraphrase-multilingual-MiniLM-L12-v2 | DataikuNLP | null | 53 | 29,650 | False | 2022-03-02T23:29:04Z | 2021-09-02T08:31:10Z | sentence-transformers | 0 | 0 | null | sentence-similarity | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"modules.json",
"pytorch_model.bin",
"sentence_bert_config.json",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"unigram.json"
] | 4f806dbc260d6ce3d6aed0cbf875f668cc1b5480 | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": "<s>", "eo... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction", "sentence-similari... | # DataikuNLP/paraphrase-multilingual-MiniLM-L12-v2
**This model is a copy of [this model repository](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) from sentence-transformers at the specific commit `d66eff4d8a8598f264f166af8db67f7797164651`.**
This is a [sentence-transformers](htt... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
621ffdc036468d709f1750c7 | Davlan/mbart50-large-eng-yor-mt | Davlan | null | 4 | 669 | False | 2022-03-02T23:29:04Z | 2021-09-26T11:57:50Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 6711a1bfb94345d2148d18a64ddc7c93bf04cc68 | [
"transformers",
"pytorch",
"mbart",
"text2text-generation",
"arxiv:2103.08647",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MBartForConditionalGeneration"], "model_type": "mbart", "tokenizer_config": {"eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__typ... | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | null | # mbart50-large-eng-yor-mt
## Model description
**mbart50-large-eng-yor-mt** is a **machine translation** model from English language to Yorùbá language based on a fine-tuned facebook/mbart-large-50 model. It establishes a **strong baseline** for automatically translating texts from English to Yorùbá.
Specificall... | null | null | null | null | null | null | null | [
"AutoModelForSeq2SeqLM",
"MBartForConditionalGeneration",
"mbart"
] | [
"text2text-generation"
] | null | null | null |
621ffdc036468d709f1750c8 | Davlan/mbart50-large-yor-eng-mt | Davlan | null | 21 | 719 | False | 2022-03-02T23:29:04Z | 2021-09-26T12:40:29Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 9ea3bc7991382d5017881311e1f36224174b6021 | [
"transformers",
"pytorch",
"mbart",
"text2text-generation",
"arxiv:2103.08647",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MBartForConditionalGeneration"], "model_type": "mbart", "tokenizer_config": {"eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__typ... | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | null | # mbart50-large-yor-eng-mt
## Model description
**mbart50-large-yor-eng-mt** is a **machine translation** model from Yorùbá language to English language based on a fine-tuned facebook/mbart-large-50 model. It establishes a **strong baseline** for automatically translating texts from Yorùbá to English.
Specificall... | null | null | null | null | null | null | null | [
"AutoModelForSeq2SeqLM",
"MBartForConditionalGeneration",
"mbart"
] | [
"text2text-generation"
] | null | null | null |
621ffdc036468d709f1750c9 | Davlan/mt5-small-en-pcm | Davlan | null | 28 | 1,282 | False | 2022-03-02T23:29:04Z | 2022-01-22T19:48:28Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 0c7e84bb44636834c94474e446a17fc1b39a9192 | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MT5ForConditionalGeneration"], "model_type": "mt5", "tokenizer_config": {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"mt5",
"MT5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
621ffdc036468d709f1750ca | Davlan/mt5-small-pcm-en | Davlan | null | 6 | 498 | False | 2022-03-02T23:29:04Z | 2022-01-22T19:20:51Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 1a2f4937603f832eaad5c268f3b562a654f43a10 | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MT5ForConditionalGeneration"], "model_type": "mt5", "tokenizer_config": {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"mt5",
"MT5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
621ffdc036468d709f1750cd | Davlan/naija-twitter-sentiment-afriberta-large | Davlan | null | 61 | 6,420 | False | 2022-03-02T23:29:04Z | 2022-06-27T11:50:40Z | transformers | 4 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 3b9fda62f667a5930d9d2fc73a3ef65ba8564526 | [
"transformers",
"pytorch",
"tf",
"xlm-roberta",
"text-classification",
"arxiv:2201.08277",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForSequenceClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": f... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | null | # naija-twitter-sentiment-afriberta-large
## Model description
**naija-twitter-sentiment-afriberta-large** is the first multilingual twitter **sentiment classification** model for four (4) Nigerian languages (Hausa, Igbo, Nigerian Pidgin, and Yorùbá) based on a fine-tuned castorini/afriberta_large large model.
It ac... | null | null | null | null | null | null | null | [
"AutoModelForSequenceClassification",
"XLMRobertaForSequenceClassification",
"xlm-roberta"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1750d1 | Davlan/xlm-roberta-base-finetuned-chichewa | Davlan | null | 4 | 520 | False | 2022-03-02T23:29:04Z | 2022-02-25T13:09:19Z | transformers | 1 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | f2ed5085ec39d20e1f8e7eb50a234e70d1adeff5 | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForMaskedLM"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normali... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | null | [
"apache-2.0"
] | null | null | null | null | null | [
"AutoModelForMaskedLM",
"xlm-roberta",
"XLMRobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] | |
621ffdc036468d709f1750d2 | Davlan/xlm-roberta-base-finetuned-english | Davlan | null | 6 | 840 | False | 2022-03-02T23:29:04Z | 2023-06-25T07:13:11Z | transformers | 0 | 0 | null | fill-mask | {"parameters": {"I64": 514, "F32": 278295186}, "total": 278295700} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 305ffa44c102467ef6f4952729b8a7cfe8974574 | [
"transformers",
"pytorch",
"safetensors",
"xlm-roberta",
"fill-mask",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForMaskedLM"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normali... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | null | [
"apache-2.0"
] | null | null | 278,295,700 | null | null | [
"AutoModelForMaskedLM",
"xlm-roberta",
"XLMRobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] | |
621ffdc036468d709f1750d6 | Davlan/xlm-roberta-base-finetuned-lingala | Davlan | null | 6 | 612 | False | 2022-03-02T23:29:04Z | 2022-02-25T15:36:10Z | transformers | 1 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 6350a63ff26b3ef1aa45298a4dba208622f206b3 | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForMaskedLM"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normali... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | null | [
"apache-2.0"
] | null | null | null | null | null | [
"AutoModelForMaskedLM",
"xlm-roberta",
"XLMRobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] | |
621ffdc036468d709f1750da | Davlan/xlm-roberta-base-finetuned-shona | Davlan | null | 17 | 867 | False | 2022-03-02T23:29:04Z | 2022-02-25T15:57:37Z | transformers | 3 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 489fd3d397406e9c10e4175585577d1e589ca507 | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForMaskedLM"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normali... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | null | [
"apache-2.0"
] | null | null | null | null | null | [
"AutoModelForMaskedLM",
"xlm-roberta",
"XLMRobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] | |
621ffdc036468d709f1750db | Davlan/xlm-roberta-base-finetuned-somali | Davlan | null | 3 | 713 | False | 2022-03-02T23:29:04Z | 2022-02-25T13:51:37Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 2181fe5b873b51be6d507944963cd31912a6818d | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForMaskedLM"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normali... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | null | [
"apache-2.0"
] | null | null | null | null | null | [
"AutoModelForMaskedLM",
"xlm-roberta",
"XLMRobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
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621ffdc036468d709f1750de | Davlan/xlm-roberta-base-finetuned-xhosa | Davlan | null | 7 | 5,419 | False | 2022-03-02T23:29:04Z | 2023-06-25T07:14:21Z | transformers | 1 | 0 | null | fill-mask | {"parameters": {"I64": 514, "F32": 278295186}, "total": 278295700} | [
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"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json"
] | 5d0ca309f90ebf32b1a8611b48913f111baea163 | [
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"pytorch",
"safetensors",
"xlm-roberta",
"fill-mask",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForMaskedLM"], "model_type": "xlm-roberta"} | {
"auto_model": "AutoModelForMaskedLM",
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"apache-2.0"
] | null | null | 278,295,700 | null | null | [
"AutoModelForMaskedLM",
"xlm-roberta",
"XLMRobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
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"text"
] | [
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621ffdc036468d709f1750e0 | Davlan/xlm-roberta-base-finetuned-zulu | Davlan | null | 4 | 732 | False | 2022-03-02T23:29:04Z | 2022-02-25T14:50:25Z | transformers | 1 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | d6750eceb456ed59716e82cb9f988cd22b1d62a8 | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForMaskedLM"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normali... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"AutoModelForMaskedLM",
"xlm-roberta",
"XLMRobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
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621ffdc036468d709f1750e1 | Davlan/xlm-roberta-base-masakhaner | Davlan | null | 214 | 1,116 | False | 2022-03-02T23:29:04Z | 2022-02-25T15:23:22Z | transformers | 1 | 0 | null | token-classification | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 643ee144abafa9c5fbe5f71f25d8a0118b6344a3 | [
"transformers",
"pytorch",
"xlm-roberta",
"token-classification",
"arxiv:2103.11811",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForTokenClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": fals... | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | null | # xlm-roberta-base-masakhaner
## Model description
**xlm-roberta-base-masakhaner** is the first **Named Entity Recognition** model for 10 African languages (Amharic, Hausa, Igbo, Kinyarwanda, Luganda, Nigerian Pidgin, Swahili, Wolof, and Yorùbá) based on a fine-tuned XLM-RoBERTa large model. It achieves the **state-o... | null | null | null | null | null | null | null | [
"XLMRobertaForTokenClassification",
"AutoModelForTokenClassification",
"xlm-roberta"
] | [
"token-classification"
] | [
"text"
] | [
"text"
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621ffdc036468d709f1750e3 | Davlan/xlm-roberta-base-sadilar-ner | Davlan | null | 7 | 1,047 | False | 2022-03-02T23:29:04Z | 2022-02-25T16:08:42Z | transformers | 2 | 0 | null | token-classification | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | bd751e53d6b7780a71d13df658b84721b6ecdb9a | [
"transformers",
"pytorch",
"xlm-roberta",
"token-classification",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["XLMRobertaForTokenClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": fals... | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | null | # xlm-roberta-base-sadilar-ner
## Model description
**xlm-roberta-base-sadilar-ner** is the first **Named Entity Recognition** model for 10 South African languages (Afrikaans, isiNdebele, isiXhosa, isiZulu, Sepedi, Sesotho, Setswana, siSwati, Tshivenda and Xitsonga) based on a fine-tuned XLM-RoBERTa large model. It... | null | null | null | null | null | null | null | [
"XLMRobertaForTokenClassification",
"AutoModelForTokenClassification",
"xlm-roberta"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1750e4 | Davlan/xlm-roberta-base-wikiann-ner | Davlan | null | 2,249 | 106,965 | False | 2022-03-02T23:29:04Z | 2023-06-25T07:32:38Z | transformers | 6 | 0 | null | token-classification | {"parameters": {"I64": 514, "F32": 277459977}, "total": 277460491} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 642b9a14e71df124c43c67e47703a91341576dfb | [
"transformers",
"pytorch",
"tf",
"safetensors",
"xlm-roberta",
"token-classification",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForTokenClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": fals... | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | null | # xlm-roberta-base-wikiann-ner
## Model description
**xlm-roberta-base-wikiann-ner** is the first **Named Entity Recognition** model for 20 languages (Arabic, Assamese, Bengali, Catalan, English, Spanish, Basque, French, Gujarati, Hindi, Indonesia, Igbo, Marathi, Punjabi, Portugues and Swahili, Urdu, Vietnamese, Yor... | null | null | null | null | 277,460,491 | null | null | [
"XLMRobertaForTokenClassification",
"AutoModelForTokenClassification",
"xlm-roberta"
] | [
"token-classification"
] | [
"text"
] | [
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621ffdc036468d709f1750e7 | Dawit/DialogGPT-small-ironman | Dawit | null | 10 | 5,079 | False | 2022-03-02T23:29:04Z | 2021-10-04T22:37:58Z | transformers | 0 | 0 | null | text-generation | null | [
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"training_args.bin",
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] | 590a305bdf1d6dab66d71d47e9f1b56bc3b0622d | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f1750f5 | DeadBeast/emoBERTTamil | DeadBeast | null | 7 | 862 | False | 2022-03-02T23:29:04Z | 2021-08-22T15:46:05Z | transformers | 2 | 0 | null | text-classification | null | [
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"dataset:tamilmixsentiment",
"license:apache-2.0",
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"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["tamilmixsentiment"], "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": null, "tags": ["generated_from_trainer"], "model_index": [{"name": "emoB... | <!-- 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. -->
# emoBERTTamil
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the tamilmixs... | null | [
"apache-2.0"
] | [
"tamilmixsentiment"
] | null | null | null | [
"accuracy"
] | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
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621ffdc036468d709f1750f6 | DeadBeast/korscm-mBERT | DeadBeast | null | 5 | 844 | False | 2022-03-02T23:29:04Z | 2021-08-21T17:40:01Z | transformers | 2 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
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] | 8e55fc3bca8bd3371b9efde468b8ef3f5c3d5f6d | [
"transformers",
"pytorch",
"bert",
"text-classification",
"dataset:Korean-Sarcasm",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["Korean-Sarcasm"], "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # **Korean-mBERT**
This model is a fine-tune checkpoint of mBERT-base-cased over **Hugging Face Kore_Scm** dataset for Text classification.
### **How to use?**
**Task**: binary-classification
- LABEL_1: Sarcasm (*Sarcasm means tweets contains sarcasm*)
- LABEL_0: Not Sarcasm (*Not Sarcasm means tweets do not contai... | null | [
"apache-2.0"
] | [
"Korean-Sarcasm"
] | null | null | null | null | [
"BertForSequenceClassification",
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"AutoModelForSequenceClassification"
] | [
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] | [
"text"
] | [
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] | [
"logits"
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621ffdc036468d709f1750f8 | DeadBeast/mbert-base-cased-finetuned-bengali-fakenews | DeadBeast | null | 8 | 1,072 | False | 2022-03-02T23:29:04Z | 2021-08-15T14:36:05Z | transformers | 3 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
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] | ddac3dee4e27c3ee4c08e528c7bbcb3345c90ca4 | [
"transformers",
"pytorch",
"bert",
"text-classification",
"dataset:BanFakeNews",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["BanFakeNews"], "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # **mBERT-base-cased-finetuned-bengali-fakenews**
This model is a fine-tune checkpoint of mBERT-base-cased over **[Bengali-fake-news Dataset](https://www.kaggle.com/cryptexcode/banfakenews)** for Text classification. This model reaches an accuracy of 96.3 with an f1-score of 79.1 on the dev set.
### **How to use?**
... | null | [
"apache-2.0"
] | [
"BanFakeNews"
] | null | null | null | null | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
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621ffdc036468d709f1750f9 | DeadBeast/roberta-base-pretrained-mr-2 | DeadBeast | null | 5 | 620 | False | 2022-03-02T23:29:04Z | 2021-08-29T19:23:16Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"flax_model.msgpack",
"pytorch_model.bin",
"tokenizer.json"
] | 465c6f261bcf84ff4366cd43003c380646882cd1 | [
"transformers",
"pytorch",
"jax",
"roberta",
"fill-mask",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta"} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
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621ffdc036468d709f1750fa | DeadBeast/roberta-base-pretrained-mr | DeadBeast | null | 1 | 439 | False | 2022-03-02T23:29:04Z | 2021-08-27T19:41:23Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"flax_model.msgpack",
"tokenizer.json"
] | 1a24a2f43afb244d9d2c4c2f0394c5c4844c2234 | [
"transformers",
"jax",
"roberta",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta"} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
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621ffdc036468d709f1750fd | DecafNosebleed/DialoGPT-small-ScaraBot | DecafNosebleed | null | 10 | 10 | False | 2022-03-02T23:29:04Z | 2021-12-27T22:12:06Z | transformers | 0 | 0 | null | text-generation | null | [
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"pytorch_model.bin",
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"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 5b700a2928bbb0c00dfc46159ac52d5e7ea68a44 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f17514f | DeepChem/ChemBERTa-10M-MLM | DeepChem | null | 1,246 | 401,397 | False | 2022-03-02T23:29:04Z | 2022-01-20T18:01:08Z | transformers | 5 | 0 | null | fill-mask | null | [
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"training_args.bin",
"vocab.json"
] | a5cfe173103cff3149e7322130342a4880010cba | [
"transformers",
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"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "[UNK]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normaliz... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
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"fill-mask"
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"logits"
] |
621ffdc036468d709f175150 | DeepChem/ChemBERTa-10M-MTR | DeepChem | null | 2,174 | 1,123,206 | False | 2022-03-02T23:29:04Z | 2022-11-16T23:00:19Z | transformers | 13 | 0 | null | null | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | b65d0a6af3156071d9519e867d695aa265bb393f | [
"transformers",
"pytorch",
"roberta",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForRegression"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "[UNK]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normal... | {
"auto_model": "RobertaForRegression",
"custom_class": null,
"pipeline_tag": null,
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["roberta"]} | # Model Card for ChemBERTa-10M-MTR
# Model Details
## Model Description
More information needed
- **Developed by:** DeepChem
- **Shared by [Optional]:** DeepChem
- **Model type:** Token Classification
- **Language(s) (NLP):** More information needed
- **License:** More information needed
- **Parent Model:** [... | null | null | null | null | null | null | null | [
"roberta",
"RobertaForRegression"
] | [
null
] | null | null | null |
621ffdc036468d709f175151 | DeepChem/ChemBERTa-5M-MLM | DeepChem | null | 389 | 25,356 | False | 2022-03-02T23:29:04Z | 2022-01-20T17:59:00Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"added_tokens.json",
"config.json",
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"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
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"training_args.bin",
"vocab.json"
] | 695672a601a8077ace5d0a6fc2529e93cc9cfa9c | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
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] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "[UNK]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normaliz... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
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"RobertaForMaskedLM"
] | [
"fill-mask"
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621ffdc036468d709f175152 | DeepChem/ChemBERTa-5M-MTR | DeepChem | null | 1,970 | 54,993 | False | 2022-03-02T23:29:04Z | 2022-01-20T17:47:34Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
"added_tokens.json",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | a642f2611383af9c37550b805ca0ecc279079914 | [
"transformers",
"pytorch",
"roberta",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForRegression"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "[UNK]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normal... | {
"auto_model": "RobertaForRegression",
"custom_class": null,
"pipeline_tag": null,
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"roberta",
"RobertaForRegression"
] | [
null
] | null | null | null |
621ffdc036468d709f175153 | DeepChem/ChemBERTa-77M-MLM | DeepChem | null | 174,306 | 6,558,037 | False | 2022-03-02T23:29:04Z | 2022-01-20T18:02:38Z | transformers | 25 | 0 | null | fill-mask | null | [
".gitattributes",
"added_tokens.json",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | ed8a5374f2024ec8da53760af91a33fb8f6a15ff | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "[UNK]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normaliz... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f175154 | DeepChem/ChemBERTa-77M-MTR | DeepChem | null | 134,678 | 4,032,097 | False | 2022-03-02T23:29:04Z | 2022-01-20T17:55:55Z | transformers | 23 | 0 | null | null | null | [
".gitattributes",
"added_tokens.json",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 66b895cab8adebea0cb59a8effa66b2020f204ca | [
"transformers",
"pytorch",
"roberta",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForRegression"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "[UNK]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normal... | {
"auto_model": "RobertaForRegression",
"custom_class": null,
"pipeline_tag": null,
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"roberta",
"RobertaForRegression"
] | [
null
] | null | null | null |
621ffdc036468d709f175159 | DeepChem/SmilesTokenizer_PubChem_1M | DeepChem | null | 618 | 6,805 | False | 2022-03-02T23:29:04Z | 2021-05-31T20:54:05Z | transformers | 6 | 0 | null | feature-extraction | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 4922f620c0488ad0362ba89430f8c96041072c29 | [
"transformers",
"pytorch",
"roberta",
"feature-extraction",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["RobertaModel"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "[UNK]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": t... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | null | RoBERTa model trained on 1M SMILES from PubChem 77M set in MoleculeNet. Uses Smiles-Tokenizer | null | null | null | null | null | null | null | [
"roberta",
"AutoModel",
"RobertaModel"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
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