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621ffdc036468d709f174d61 | BinksSachary/ShaxxBot | BinksSachary | null | 5 | 752 | False | 2022-03-02T23:29:04Z | 2021-06-03T04:51:56Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
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] | 4ff0ad95ff0c6ccafb67a91a3d489efd12ee211f | [
"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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"AutoModelForCausalLM",
"gpt2"
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621ffdc036468d709f174d62 | BinksSachary/ShaxxBot2 | BinksSachary | null | 5 | 822 | False | 2022-03-02T23:29:04Z | 2021-06-03T04:37:46Z | transformers | 0 | 0 | null | text-generation | null | [
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] | f2eccf5f2eda68f0b2c0b68e8fb898064af06db0 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"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... | {
"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"]} | # My Awesome Model
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("r3dhummingbird/DialoGPT-medium-joshua")
model = AutoModelWithLMHead.from_pretrained("r3dhummingbird/DialoGPT-medium-joshua")
# Let's chat for 4 lines
for step in range(4):
# encode the new u... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
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] | [
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621ffdc036468d709f174d6e | BitanBiswas/mbert-bengali-ner-finetuned-ner | BitanBiswas | null | 4 | 625 | False | 2022-03-02T23:29:04Z | 2022-02-14T16:54:04Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174d73 | Blaine-Mason/hackMIT-finetuned-sst2 | Blaine-Mason | null | 8 | 1,275 | False | 2022-03-02T23:29:04Z | 2021-08-25T00:31:45Z | transformers | 0 | 0 | null | text-classification | null | [
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"text-classification",
"generated_from_trainer",
"dataset:glue",
"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",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["glue"], "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": null, "tags": ["generated_from_trainer"], "model_index": [{"name": "hackMIT-finetuned-sst2", ... | <!-- 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. -->
# hackMIT-finetuned-sst2
This model is a fine-tuned version of [Blaine-Mason/hackMIT-finetuned-sst2](https://huggingface.co/Blaine-... | null | null | [
"glue"
] | null | null | null | [
"accuracy"
] | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
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"text"
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621ffdc036468d709f174d79 | BlightZz/DialoGPT-medium-Kurisu | BlightZz | null | 8 | 2,908 | False | 2022-03-02T23:29:04Z | 2021-07-01T22:12:18Z | transformers | 2 | 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"
] | f2f0da1675ee4091bc5f31f06adbc763b28d5a8c | [
"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"]} | # A new medium model based on the character Makise Kurisu from Steins;Gate.
# Still has some issues that were present in the previous model, for example, mixing lines from other characters.
# If you have any questions, feel free to ask me on discord: BlightZz#1169 | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
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621ffdc036468d709f174d7a | BlightZz/MakiseKurisu | BlightZz | null | 6 | 1,208 | False | 2022-03-02T23:29:04Z | 2021-07-01T19:02:26Z | 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"
] | 553ae6dc0ebe05d887df9d2caddf7b6abf2f5562 | [
"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"]} | # A small model based on the character Makise Kurisu from Steins;Gate. This was made as a test.
# A new medium model was made using her lines, I also added some fixes. It can be found here:
# https://huggingface.co/BlightZz/DialoGPT-medium-Kurisu | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
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] | [
"text"
] | [
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621ffdc036468d709f174d80 | BlueGamerBeast/DialoGPT-small-Morgana | BlueGamerBeast | null | 2 | 707 | False | 2022-03-02T23:29:04Z | 2021-08-27T17:03:23Z | 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"
] | 8060de6f4b30c54cb2cae93797efc43f85834eae | [
"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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"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"
] | [
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] | [
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] | [
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621ffdc036468d709f174d8c | BogdanKuloren/continual-learning-paper-embeddings-model | BogdanKuloren | null | 15 | 419 | False | 2022-03-02T23:29:04Z | 2021-08-01T11:43:47Z | transformers | 1 | 0 | null | feature-extraction | null | [
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] | da58f56e4d6ba7ece734a5c02642db7e2d2238bc | [
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"deploy:azure",
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] | null | {"architectures": ["MPNetModel"], "model_type": "mpnet", "tokenizer_config": {"bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, ... | {
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"pipeline_tag": "feature-extraction",
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} | null | null | null | null | null | null | null | null | null | [
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621ffdc036468d709f174d97 | BossLee/t5-gec | BossLee | null | 2 | 1,335 | False | 2022-03-02T23:29:04Z | 2021-11-11T11:42:45Z | transformers | 1 | 0 | null | null | null | [
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] | ee42828b55034da69a844b558cf4586249e9c0e2 | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}} | {
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"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
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621ffdc036468d709f174d9a | BotterHax/DialoGPT-small-harrypotter | BotterHax | null | 11 | 5,201 | False | 2022-03-02T23:29:04Z | 2022-02-19T18:23:15Z | transformers | 0 | 0 | null | text-generation | null | [
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] | da1e538a11f1d1845155f645e90ea7917865a431 | [
"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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"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 | [
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621ffdc036468d709f174d9f | Brendan/cse244b-hw2-roberta | Brendan | null | 1 | 700 | False | 2022-03-02T23:29:04Z | 2022-02-26T05:48:15Z | transformers | 0 | 0 | null | text-classification | null | [
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"merges.txt",
"pytorch_model.bin",
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] | 3391da53f2d756071d84b8f984d343d5168785f9 | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta", "tokenizer_config": {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>"}} | {
"auto_model": "AutoModelForSequenceClassification",
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"pipeline_tag": "text-classification",
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} | null | null | null | null | null | null | null | null | null | [
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621ffdc036468d709f174dac | TheBritishLibrary/bl-books-genre | TheBritishLibrary | null | 10 | 19,500 | False | 2022-03-02T23:29:04Z | 2023-11-09T10:43:25Z | transformers | 7 | 0 | null | text-classification | {"parameters": {"F32": 65783042}, "total": 65783042} | [
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] | a9b0ccba5f7f9fafcadaad88e1eba41852553a21 | [
"transformers",
"pytorch",
"safetensors",
"distilbert",
"text-classification",
"genre",
"books",
"library",
"historic",
"glam ",
"lam",
"multilingual",
"en",
"ru",
"fr",
"es",
"de",
"nl",
"it",
"sv",
"da",
"hu",
"pl",
"la",
"el",
"cs",
"pt",
"fi",
"sr",
"bg"... | 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"
} | {"base_model": null, "datasets": ["TheBritishLibrary/blbooksgenre"], "eval_results": null, "language": ["multilingual", "en", "ru", "fr", "es", "de", "nl", "it", "sv", "da", "hu", "pl", "la", "el", "cs", "pt", "fi", "sr", "bg", "is", "ga", "he", "nn", "lt", "sl", "kw", "ro", "sk", "sco", "sa"], "library_name": null, "l... | # British Library Books Genre Detector
**Note** this model card is a work in progress.
## Model description
This fine-tuned [`distilbert-base-cased`](https://huggingface.co/distilbert-base-cased) model is trained to predict whether a book from the [British Library's](https://www.bl.uk/) [Digitised printed books (1... | null | [
"mit"
] | [
"TheBritishLibrary/blbooksgenre"
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"sco",
"sa"
] | 65,783,042 | null | [
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621ffdc036468d709f174dad | Broadus20/DialoGPT-small-harrypotter | Broadus20 | null | 2 | 695 | False | 2022-03-02T23:29:04Z | 2021-10-26T20:30:02Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174dae | Broadus20/DialoGPT-small-joshua | Broadus20 | null | 6 | 649 | False | 2022-03-02T23:29:04Z | 2021-10-26T20:26:22Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174db2 | BrunoNogueira/DialoGPT-kungfupanda | BrunoNogueira | null | 7 | 4,718 | False | 2022-03-02T23:29:04Z | 2021-09-23T18:49:17Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174db8 | Brykee/DialoGPT-medium-Morty | Brykee | null | 2 | 753 | False | 2022-03-02T23:29:04Z | 2021-10-20T19:24:26Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174dd8 | Bubb-les/DisloGPT-medium-HarryPotter | Bubb-les | null | 6 | 659 | False | 2022-03-02T23:29:04Z | 2021-09-03T05:23:35Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174de1 | Buntan/bert-finetuned-ner | Buntan | null | 3 | 646 | False | 2022-03-02T23:29:04Z | 2021-12-11T10:26:36Z | transformers | 0 | 0 | [{"name": "bert-finetuned-ner", "results": [{"task": {"name": "Token Classification", "type": "token-classification"}, "dataset": {"name": "conll2003", "type": "conll2003", "args": "conll2003"}, "metrics": [{"name": "Precision", "type": "precision", "value": 0.9328604420983174, "verified": false}, {"name": "Recall", "t... | token-classification | null | [
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should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the conll20... | null | [
"apache-2.0"
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"conll2003"
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621ffdc036468d709f174e1a | CLTL/gm-ner-xlmrbase | CLTL | null | 6 | 1,477 | False | 2022-03-02T23:29:04Z | 2021-11-09T16:14:39Z | transformers | 0 | 0 | null | token-classification | null | [
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] | 120252d7c808f3997ca6423a57087077273f79e0 | [
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] | 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... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": "nl", "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "token-classification", "tags": ["dighum"]} | # Early-modern Dutch NER (General Letters)
## Description
This is a fine-tuned NER model for early-modern Dutch United East India Company (VOC) letters based on XLM-R_base [(Conneau et al., 2020)](https://aclanthology.org/2020.acl-main.747/). The model identifies *locations*, *persons*, *organisations*, but also *ship... | null | [
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621ffdc036468d709f174e1c | CLTL/icf-levels-adm | CLTL | null | 12 | 1,125 | False | 2022-03-02T23:29:04Z | 2021-11-08T10:10:01Z | transformers | 1 | 0 | null | text-classification | null | [
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] | 1b64331a72511271b7316b65e593cdfebd178fad | [
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] | null | {"architectures": ["RobertaForSequenceClassification"], "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": fa... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": "nl", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", "tags": null, "inference": false} | # Regression Model for Respiration Functioning Levels (ICF b440)
## Description
A fine-tuned regression model that assigns a functioning level to Dutch sentences describing respiration functions. The model is based on a pre-trained Dutch medical language model ([link to be added]()): a RoBERTa model, trained from scra... | null | [
"mit"
] | null | [
"nl"
] | null | null | null | [
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621ffdc036468d709f174e1d | CLTL/icf-levels-att | CLTL | null | 8 | 952 | False | 2022-03-02T23:29:04Z | 2021-11-08T10:24:29Z | transformers | 1 | 0 | null | text-classification | null | [
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] | b39d79785a02773c015174fabf73a4f33ab0932f | [
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] | null | {"architectures": ["RobertaForSequenceClassification"], "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": fa... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": "nl", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", "tags": null, "inference": false} | # Regression Model for Attention Functioning Levels (ICF b140)
## Description
A fine-tuned regression model that assigns a functioning level to Dutch sentences describing attention functions. The model is based on a pre-trained Dutch medical language model ([link to be added]()): a RoBERTa model, trained from scratch ... | null | [
"mit"
] | null | [
"nl"
] | null | null | null | [
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621ffdc036468d709f174e1e | CLTL/icf-levels-ber | CLTL | null | 10 | 1,002 | False | 2022-03-02T23:29:04Z | 2021-11-08T10:36:00Z | transformers | 1 | 0 | null | text-classification | null | [
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] | f958f5bb51191d2c5a79e494156e1f0e5e535700 | [
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"license:mit",
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] | null | {"architectures": ["RobertaForSequenceClassification"], "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": fa... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": "nl", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", "tags": null, "inference": false} | # Regression Model for Work and Employment Functioning Levels (ICF d840-d859)
## Description
A fine-tuned regression model that assigns a functioning level to Dutch sentences describing work and employment functions. The model is based on a pre-trained Dutch medical language model ([link to be added]()): a RoBERTa mod... | null | [
"mit"
] | null | [
"nl"
] | null | null | null | [
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621ffdc036468d709f174e1f | CLTL/icf-levels-enr | CLTL | null | 9 | 1,012 | False | 2022-03-02T23:29:04Z | 2021-11-08T10:45:45Z | transformers | 1 | 0 | null | text-classification | null | [
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] | 790b6fcbaccf7d811f8638dc8ec10754d2aa296f | [
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"license:mit",
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] | null | {"architectures": ["RobertaForSequenceClassification"], "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": fa... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": "nl", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", "tags": null, "inference": false} | # Regression Model for Energy Levels (ICF b1300)
## Description
A fine-tuned regression model that assigns a functioning level to Dutch sentences describing energy level. The model is based on a pre-trained Dutch medical language model ([link to be added]()): a RoBERTa model, trained from scratch on clinical notes of ... | null | [
"mit"
] | null | [
"nl"
] | null | null | null | [
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621ffdc036468d709f174e20 | CLTL/icf-levels-etn | CLTL | null | 12 | 1,125 | False | 2022-03-02T23:29:04Z | 2021-11-08T10:56:00Z | transformers | 1 | 0 | null | text-classification | null | [
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] | 6127b30f6c229e77ae7fcf9c9ff068eece494534 | [
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] | null | {"architectures": ["RobertaForSequenceClassification"], "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": fa... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": "nl", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", "tags": null, "inference": false} | # Regression Model for Eating Functioning Levels (ICF d550)
## Description
A fine-tuned regression model that assigns a functioning level to Dutch sentences describing eating functions. The model is based on a pre-trained Dutch medical language model ([link to be added]()): a RoBERTa model, trained from scratch on cli... | null | [
"mit"
] | null | [
"nl"
] | null | null | null | [
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621ffdc036468d709f174e21 | CLTL/icf-levels-fac | CLTL | null | 11 | 1,254 | False | 2022-03-02T23:29:04Z | 2021-11-08T12:13:55Z | transformers | 1 | 0 | null | text-classification | null | [
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] | ae01ad6e59c75306d3540c9e5801d90f2fd19f26 | [
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"pytorch",
"roberta",
"text-classification",
"nl",
"license:mit",
"text-embeddings-inference",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "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": fa... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": "nl", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", "tags": null, "inference": false} | # Regression Model for Walking Functioning Levels (ICF d550)
## Description
A fine-tuned regression model that assigns a functioning level to Dutch sentences describing walking functions. The model is based on a pre-trained Dutch medical language model ([link to be added]()): a RoBERTa model, trained from scratch on c... | null | [
"mit"
] | null | [
"nl"
] | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174e22 | CLTL/icf-levels-ins | CLTL | null | 11 | 1,031 | False | 2022-03-02T23:29:04Z | 2021-11-08T12:13:06Z | transformers | 1 | 0 | null | text-classification | null | [
".gitattributes",
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"pytorch_model.bin",
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] | c56aea211596c66c0686934fff7cf21a9cbfd36e | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"nl",
"license:mit",
"text-embeddings-inference",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "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": fa... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": "nl", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", "tags": null, "inference": false} | # Regression Model for Exercise Tolerance Functioning Levels (ICF b455)
## Description
A fine-tuned regression model that assigns a functioning level to Dutch sentences describing exercise tolerance functions. The model is based on a pre-trained Dutch medical language model ([link to be added]()): a RoBERTa model, tra... | null | [
"mit"
] | null | [
"nl"
] | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
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] | [
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] | [
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621ffdc036468d709f174e23 | CLTL/icf-levels-mbw | CLTL | null | 10 | 939 | False | 2022-03-02T23:29:04Z | 2021-11-08T12:21:31Z | transformers | 1 | 0 | null | text-classification | null | [
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] | 8792f07ac8397ec5b5e2914907d575222a2fa088 | [
"transformers",
"pytorch",
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"text-classification",
"nl",
"license:mit",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": "nl", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", "tags": null, "inference": false} | # Regression Model for Weight Maintenance Functioning Levels (ICF b530)
## Description
A fine-tuned regression model that assigns a functioning level to Dutch sentences describing weight maintenance functions. The model is based on a pre-trained Dutch medical language model ([link to be added]()): a RoBERTa model, tra... | null | [
"mit"
] | null | [
"nl"
] | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
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"text-classification"
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"text"
] | [
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] |
621ffdc036468d709f174e24 | CLTL/icf-levels-stm | CLTL | null | 17 | 1,041 | False | 2022-03-02T23:29:04Z | 2021-11-08T12:26:53Z | transformers | 1 | 0 | null | text-classification | null | [
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"pytorch_model.bin",
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"training_args.bin",
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] | a7a43451a2f7f1eddf758f7d98ec36d853a7eaed | [
"transformers",
"pytorch",
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"text-classification",
"nl",
"license:mit",
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"auto_model": "AutoModelForSequenceClassification",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": "nl", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", "tags": null, "inference": false} | # Regression Model for Emotional Functioning Levels (ICF b152)
## Description
A fine-tuned regression model that assigns a functioning level to Dutch sentences describing emotional functions. The model is based on a pre-trained Dutch medical language model ([link to be added]()): a RoBERTa model, trained from scratch ... | null | [
"mit"
] | null | [
"nl"
] | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
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] | [
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] | [
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621ffdc036468d709f174e27 | CNT-UPenn/Bio_ClinicalBERT_for_seizureFreedom_classification | CNT-UPenn | null | 9 | 1,127 | False | 2022-03-02T23:29:04Z | 2022-03-02T19:02:27Z | transformers | 2 | 0 | null | text-classification | null | [
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] | a528e34d5ca9e69f4b6b146f4514292a97cfaef4 | [
"transformers",
"pytorch",
"bert",
"text-classification",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
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] | 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 | emilyalsentzer/Bio_ClinicalBERT with additional training through the finetuning pipeline described in "Extracting Seizure Frequency From Epilepsy Clinic Notes: A Machine Reading Approach To Natural Language Processing."
Citation: Kevin Xie, Ryan S Gallagher, Erin C Conrad, Chadric O Garrick, Steven N Baldassano, John... | null | null | null | null | null | null | null | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174e28 | CNT-UPenn/RoBERTa_for_seizureFrequency_QA | CNT-UPenn | null | 6 | 811 | False | 2022-03-02T23:29:04Z | 2022-03-02T19:02:06Z | transformers | 0 | 0 | null | question-answering | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
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"vocab.json"
] | 2d3c49cfd9bb86df0140738823349d5863c500f5 | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["RobertaForQuestionAnswering"], "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": "AutoModelForQuestionAnswering",
"custom_class": null,
"pipeline_tag": "question-answering",
"processor": "AutoTokenizer"
} | null | RoBERTa-base with additional training through the finetuning pipeline described in "Extracting Seizure Frequency From Epilepsy Clinic Notes: A Machine Reading Approach To Natural Language Processing."
Citation: Kevin Xie, Ryan S Gallagher, Erin C Conrad, Chadric O Garrick, Steven N Baldassano, John M Bernabei, Peter ... | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForQuestionAnswering",
"RobertaForQuestionAnswering"
] | [
"question-answering"
] | [
"text"
] | [
"text"
] | [
"text"
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621ffdc036468d709f174e2c | CZWin32768/xlm-align | CZWin32768 | null | 3 | 1,082 | False | 2022-03-02T23:29:04Z | 2021-07-21T07:53:29Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"tokenizer.json"
] | 6b7a0812d30b3fe2c78fc49d91aa234d969b7bc7 | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"arxiv:2106.06381",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["XLMRobertaForMaskedLM"], "model_type": "xlm-roberta"} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | -:|:----:|:----:|:-----:|:----:|:-----:|:----:|:----:|
| XLM-R_base | 75.6 | 61.8 | 71.9 / 56.4 | 65.1 / 47.2 | 55.4 / 38.3 | 75.0 | 84.9 | 66.4 |
| XLM-Align | **76.0** | **63.7** | **74.7 / 59.0** | **68.1 / 49.8** | **62.1 / 44.8** | **76.2** | **86.8** | **68.9** |
## MD5
```
b9d214025837250ede2f69c9385f812c ... | null | null | null | null | null | null | null | [
"AutoModelForMaskedLM",
"xlm-roberta",
"XLMRobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174e46 | CalvinHuang/mt5-small-finetuned-amazon-en-es | CalvinHuang | null | 12 | 939 | False | 2022-03-02T23:29:04Z | 2022-02-02T03:50:37Z | transformers | 1 | 0 | [{"name": "mt5-small-finetuned-amazon-en-es", "results": []}] | summarization | null | [
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".gitignore",
"README.md",
"config.json",
"pytorch_model.bin",
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"runs/Feb02_01-44-42_57aef63a1b2b/events.out.tfevents.1643766322.57aef63a1b2b.80.0",
"runs/Feb02_01-44-42_57aef63a1b2... | b240a4a8723a1dcd7e8b4438341f7fd8c3e1bae4 | [
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"mt5",
"text2text-generation",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
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] | 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"
} | {"base_model": null, "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["rouge"], "model_name": "mt5-small-finetuned-amazon-en-es", "pipeline_tag": null, "tags": ["summarization", "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. -->
# mt5-small-finetuned-amazon-en-es
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small... | null | [
"apache-2.0"
] | null | null | null | null | [
"rouge"
] | [
"mt5",
"MT5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation",
"summarization"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174e55 | Camzure/MaamiBot-test | Camzure | null | 1 | 681 | False | 2022-03-02T23:29:04Z | 2022-02-27T12:40:31Z | 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... | de202135f518fa58007c086d18dae7bda5516cd2 | [
"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"
] |
621ffdc036468d709f174e57 | Canadiancaleb/DialoGPT-small-jesse | Canadiancaleb | null | 2 | 707 | False | 2022-03-02T23:29:04Z | 2021-09-19T00:05:07Z | 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"
] | 94e601e5b9a95ecaa41f5b95913dd845842ca636 | [
"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"
] |
621ffdc036468d709f174e58 | Canadiancaleb/DialoGPT-small-walter | Canadiancaleb | null | 10 | 2,308 | False | 2022-03-02T23:29:04Z | 2021-09-19T01:29:51Z | 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"
] | e337c02b9b652ebeeff01a548bb8691b65fd9b6e | [
"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"
] |
621ffdc036468d709f174e67 | CarlosPR/mt5-spanish-memmories-analysis | CarlosPR | null | 5 | 915 | False | 2022-03-02T23:29:04Z | 2021-07-11T15:11:55Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json"
] | e9b9d60ddf8dad3c64c0a7be09db6f356edac8a5 | [
"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 | **mt5-spanish-memmories-analysis**
**// ES**
Este es un trabajo en proceso.
Este modelo aún es solo un punto de control inicial que mejoraré en los próximos meses.
El objetivo es proporcionar un modelo capaz de, utilizando una combinación de tareas del modelo mT5, comprender los recuerdos y proporcionar una interacc... | null | null | null | null | null | null | null | [
"mt5",
"MT5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
621ffdc036468d709f174e6d | CasualHomie/DialoGPT-small-harrypotter | CasualHomie | null | 5 | 730 | False | 2022-03-02T23:29:04Z | 2022-01-10T09:30:17Z | transformers | 0 | 0 | null | text-generation | null | [
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"pytorch_model.bin",
"special_tokens_map.json",
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"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 3e35e923bc5bc11cced9e44895e02588a1705d66 | [
"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"
] | [
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621ffdc036468d709f174e7f | Cathy/reranking_model | Cathy | null | 8 | 1,436 | False | 2022-03-02T23:29:04Z | 2021-09-05T09:55:08Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174e82 | Cedille/fr-boris | Cedille | null | 952 | 45,099 | False | 2022-03-02T23:29:04Z | 2022-03-15T08:36:54Z | transformers | 39 | 0 | null | text-generation | null | [
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Cedille is a project to bring large language models to non-English languages.
## fr-boris
Boris is a 6B parameter autoregressive language model based on the GPT-J architecture and trained using the [mesh-transformer-jax](https://github.com/kingoflolz/mesh-transformer-jax) codebase.
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621ffdc036468d709f174e87 | dccuchile/albert-base-spanish-finetuned-mldoc | dccuchile | null | 6 | 1,482 | False | 2022-03-02T23:29:04Z | 2022-01-10T10:15:50Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174e88 | dccuchile/albert-base-spanish-finetuned-ner | dccuchile | null | 6 | 825 | False | 2022-03-02T23:29:04Z | 2021-12-28T20:57:49Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174e89 | dccuchile/albert-base-spanish-finetuned-pawsx | dccuchile | null | 4 | 626 | False | 2022-03-02T23:29:04Z | 2022-01-02T00:14:18Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174e8a | dccuchile/albert-base-spanish-finetuned-pos | dccuchile | null | 16 | 553 | False | 2022-03-02T23:29:04Z | 2021-12-17T18:07:52Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174e8b | dccuchile/albert-base-spanish-finetuned-qa-mlqa | dccuchile | null | 6 | 2,558 | False | 2022-03-02T23:29:04Z | 2022-01-18T03:15:12Z | transformers | 3 | 0 | null | question-answering | null | [
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621ffdc036468d709f174e8d | dccuchile/albert-base-spanish-finetuned-xnli | dccuchile | null | 3 | 645 | False | 2022-03-02T23:29:04Z | 2021-12-08T22:09:10Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174e8e | dccuchile/albert-large-spanish-finetuned-mldoc | dccuchile | null | 2 | 590 | False | 2022-03-02T23:29:04Z | 2022-01-11T04:41:21Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174e8f | dccuchile/albert-large-spanish-finetuned-ner | dccuchile | null | 6 | 1,826 | False | 2022-03-02T23:29:04Z | 2021-12-29T16:36:20Z | transformers | 1 | 0 | null | token-classification | null | [
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621ffdc036468d709f174e90 | dccuchile/albert-large-spanish-finetuned-pawsx | dccuchile | null | 2 | 552 | False | 2022-03-02T23:29:04Z | 2022-01-02T00:36:34Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174e91 | dccuchile/albert-large-spanish-finetuned-pos | dccuchile | null | 5 | 469 | False | 2022-03-02T23:29:04Z | 2021-12-17T22:03:38Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174e92 | dccuchile/albert-large-spanish-finetuned-qa-mlqa | dccuchile | null | 7 | 1,824 | False | 2022-03-02T23:29:04Z | 2022-01-17T15:34:13Z | transformers | 0 | 0 | null | question-answering | null | [
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621ffdc036468d709f174e94 | dccuchile/albert-large-spanish-finetuned-xnli | dccuchile | null | 3 | 577 | False | 2022-03-02T23:29:04Z | 2021-12-12T03:44:52Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174e95 | dccuchile/albert-tiny-spanish-finetuned-mldoc | dccuchile | null | 3 | 601 | False | 2022-03-02T23:29:04Z | 2022-01-10T09:54:15Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174e96 | dccuchile/albert-tiny-spanish-finetuned-ner | dccuchile | null | 4 | 2,222 | False | 2022-03-02T23:29:04Z | 2022-01-03T14:55:55Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174e97 | dccuchile/albert-tiny-spanish-finetuned-pawsx | dccuchile | null | 1 | 605 | False | 2022-03-02T23:29:04Z | 2022-01-01T18:21:54Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174e98 | dccuchile/albert-tiny-spanish-finetuned-pos | dccuchile | null | 6 | 524 | False | 2022-03-02T23:29:04Z | 2021-12-17T17:56:55Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174e99 | dccuchile/albert-tiny-spanish-finetuned-qa-mlqa | dccuchile | null | 5 | 585 | False | 2022-03-02T23:29:04Z | 2022-01-17T03:26:58Z | transformers | 0 | 0 | null | question-answering | null | [
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621ffdc036468d709f174e9c | dccuchile/albert-tiny-spanish-finetuned-xnli | dccuchile | null | 3 | 582 | False | 2022-03-02T23:29:04Z | 2021-12-08T21:37:29Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174e9d | dccuchile/albert-xlarge-spanish-finetuned-mldoc | dccuchile | null | 2 | 537 | False | 2022-03-02T23:29:04Z | 2022-01-11T04:58:11Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174e9e | dccuchile/albert-xlarge-spanish-finetuned-ner | dccuchile | null | 1 | 547 | False | 2022-03-02T23:29:04Z | 2021-12-29T18:24:18Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174e9f | dccuchile/albert-xlarge-spanish-finetuned-pawsx | dccuchile | null | 2 | 557 | False | 2022-03-02T23:29:04Z | 2022-01-03T17:56:40Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174ea0 | dccuchile/albert-xlarge-spanish-finetuned-pos | dccuchile | null | 7 | 446 | False | 2022-03-02T23:29:04Z | 2021-12-17T22:14:47Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174ea1 | dccuchile/albert-xlarge-spanish-finetuned-qa-mlqa | dccuchile | null | 3 | 1,767 | False | 2022-03-02T23:29:04Z | 2022-01-19T20:57:30Z | transformers | 0 | 0 | null | question-answering | null | [
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621ffdc036468d709f174ea2 | dccuchile/albert-xlarge-spanish-finetuned-xnli | dccuchile | null | 7 | 587 | False | 2022-03-02T23:29:04Z | 2021-12-12T03:57:48Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174ea3 | dccuchile/albert-xxlarge-spanish-finetuned-mldoc | dccuchile | null | 1 | 629 | False | 2022-03-02T23:29:04Z | 2022-01-12T13:00:28Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174ea4 | dccuchile/albert-xxlarge-spanish-finetuned-ner | dccuchile | null | 2 | 570 | False | 2022-03-02T23:29:04Z | 2022-01-12T20:24:58Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174ea5 | dccuchile/albert-xxlarge-spanish-finetuned-pawsx | dccuchile | null | 0 | 536 | False | 2022-03-02T23:29:04Z | 2022-01-06T04:05:17Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174ea6 | dccuchile/albert-xxlarge-spanish-finetuned-pos | dccuchile | null | 7 | 504 | False | 2022-03-02T23:29:04Z | 2021-12-17T22:47:32Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174ea7 | dccuchile/albert-xxlarge-spanish-finetuned-qa-mlqa | dccuchile | null | 8 | 1,786 | False | 2022-03-02T23:29:04Z | 2022-02-14T16:59:14Z | transformers | 0 | 0 | null | question-answering | null | [
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621ffdc036468d709f174ea8 | dccuchile/albert-xxlarge-spanish-finetuned-xnli | dccuchile | null | 6 | 792 | False | 2022-03-02T23:29:04Z | 2021-12-28T17:37:30Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174ea9 | dccuchile/albert-base-spanish | dccuchile | null | 185 | 7,497 | False | 2022-03-02T23:29:04Z | 2022-04-28T19:55:01Z | transformers | 4 | 0 | null | null | null | [
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] | null | {"architectures": ["AlbertForPreTraining"], "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, "normali... | {
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} | {"base_model": null, "datasets": ["large_spanish_corpus"], "eval_results": null, "language": ["es"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["albert", "spanish", "OpenCENIA"]} | # ALBERT Base Spanish
This is an [ALBERT](https://github.com/google-research/albert) model trained on a [big spanish corpora](https://github.com/josecannete/spanish-corpora).
The model was trained on a single TPU v3-8 with the following hyperparameters and steps/time:
- LR: 0.0008838834765
- Batch Size: 960
- Warmup r... | null | null | [
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621ffdc036468d709f174eaa | dccuchile/albert-large-spanish | dccuchile | null | 3 | 734 | False | 2022-03-02T23:29:04Z | 2022-04-28T19:55:20Z | transformers | 0 | 0 | null | null | null | [
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] | 8740aef10a23ff833c36ed311068bd03adf9ef28 | [
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] | null | {"architectures": ["AlbertForPreTraining"], "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, "normali... | {
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} | {"base_model": null, "datasets": ["large_spanish_corpus"], "eval_results": null, "language": ["es"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["albert", "spanish", "OpenCENIA"]} | # ALBERT Large Spanish
This is an [ALBERT](https://github.com/google-research/albert) model trained on a [big spanish corpora](https://github.com/josecannete/spanish-corpora).
The model was trained on a single TPU v3-8 with the following hyperparameters and steps/time:
- LR: 0.000625
- Batch Size: 512
- Warmup ratio: ... | null | null | [
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621ffdc036468d709f174eab | dccuchile/albert-tiny-spanish | dccuchile | null | 3 | 7,437 | False | 2022-03-02T23:29:04Z | 2022-04-28T19:54:10Z | transformers | 4 | 0 | null | null | null | [
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] | 6af62f921e5c06d542f24fc0353aa3a766395dbe | [
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This is an [ALBERT](https://github.com/google-research/albert) model trained on a [big spanish corpora](https://github.com/josecannete/spanish-corpora).
The model was trained on a single TPU v3-8 with the following hyperparameters and steps/time:
- LR: 0.00125
- Batch Size: 2048
- Warmup ratio: 0... | null | null | [
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621ffdc036468d709f174eac | dccuchile/albert-xlarge-spanish | dccuchile | null | 10 | 1,257 | False | 2022-03-02T23:29:04Z | 2022-04-28T19:55:48Z | transformers | 0 | 0 | null | null | null | [
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] | null | {"architectures": ["AlbertForPreTraining"], "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, "normali... | {
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This is an [ALBERT](https://github.com/google-research/albert) model trained on a [big spanish corpora](https://github.com/josecannete/spanish-corpora).
The model was trained on a single TPU v3-8 with the following hyperparameters and steps/time:
- LR: 0.0003125
- Batch Size: 128
- Warmup ratio... | null | null | [
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621ffdc036468d709f174ead | dccuchile/albert-xxlarge-spanish | dccuchile | null | 7 | 13,538 | False | 2022-03-02T23:29:04Z | 2022-04-28T19:56:15Z | transformers | 1 | 0 | null | null | null | [
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] | null | {"architectures": ["AlbertForPreTraining"], "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, "normali... | {
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This is an [ALBERT](https://github.com/google-research/albert) model trained on a [big spanish corpora](https://github.com/josecannete/spanish-corpora).
The model was trained on a single TPU v3-8 with the following hyperparameters and steps/time:
- LR: 0.0003125
- Batch Size: 128
- Warmup rati... | null | null | [
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621ffdc036468d709f174eae | dccuchile/bert-base-spanish-wwm-cased-finetuned-mldoc | dccuchile | null | 5 | 822 | False | 2022-03-02T23:29:04Z | 2022-01-10T21:30:12Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174eaf | dccuchile/bert-base-spanish-wwm-cased-finetuned-ner | dccuchile | null | 42 | 3,307 | False | 2022-03-02T23:29:04Z | 2022-01-06T20:06:50Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174eb0 | dccuchile/bert-base-spanish-wwm-cased-finetuned-pawsx | dccuchile | null | 2 | 652 | False | 2022-03-02T23:29:04Z | 2022-01-03T22:28:02Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174eb1 | dccuchile/bert-base-spanish-wwm-cased-finetuned-pos | dccuchile | null | 8 | 797 | False | 2022-03-02T23:29:04Z | 2021-12-18T00:41:41Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174eb2 | dccuchile/bert-base-spanish-wwm-cased-finetuned-qa-mlqa | dccuchile | null | 4 | 736 | False | 2022-03-02T23:29:04Z | 2022-01-22T00:33:16Z | transformers | 0 | 0 | null | question-answering | null | [
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621ffdc036468d709f174eb3 | dccuchile/bert-base-spanish-wwm-cased-finetuned-xnli | dccuchile | null | 4 | 817 | False | 2022-03-02T23:29:04Z | 2021-12-08T21:52:32Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174eb4 | dccuchile/bert-base-spanish-wwm-uncased-finetuned-mldoc | dccuchile | null | 9 | 4,452 | False | 2022-03-02T23:29:04Z | 2022-01-11T03:27:07Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174eb5 | dccuchile/bert-base-spanish-wwm-uncased-finetuned-ner | dccuchile | null | 6 | 1,168 | False | 2022-03-02T23:29:04Z | 2021-12-28T21:18:27Z | transformers | 1 | 0 | null | token-classification | null | [
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621ffdc036468d709f174ed6 | Chaewon/mmnt_decoder_en | Chaewon | null | 6 | 714 | False | 2022-03-02T23:29:04Z | 2021-12-10T14:41:40Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174ed7 | Chaewon/mnmt_decoder_en | Chaewon | null | 2 | 824 | False | 2022-03-02T23:29:04Z | 2021-12-13T03:22:54Z | transformers | 0 | 0 | null | text-generation | null | [
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"text"
] | [
"text"
] |
621ffdc036468d709f174edd | Chakita/Friends | Chakita | null | 8 | 1,358 | False | 2022-03-02T23:29:04Z | 2021-06-04T10:36:40Z | transformers | 1 | 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"
] | 56eb4c44ee3f5a478038776eb8df6c907e35007c | [
"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"
] |
621ffdc036468d709f174ede | Chakita/KNUBert | Chakita | null | 2 | 1,293 | False | 2022-03-02T23:29:04Z | 2023-01-04T17:18:15Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"runs/Jan04_16-33-48_a1156351ca8d/1672850140.2152631/events.out.tfevents.1672850140.a1156351ca8d.23.1",
"runs/Jan04_16-33-48_a1156351ca8d/events.out.tfevents.1672850140.a1156351ca8d.23.0",
"runs/Jan04_16-5... | 52863bccd7b9ee35860f09836cb1bb17763c6d44 | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "cls_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": true, "rstri... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] | |
621ffdc036468d709f174edf | Chakita/KROBERT | Chakita | null | 5 | 1,061 | False | 2022-03-02T23:29:04Z | 2021-09-18T07:55:38Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | f625f449a193f80d4c5fc0863b1a012cfc472481 | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"masked-lm",
"fill-in-the-blanks",
"endpoints_compatible",
"deploy:azure",
"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"
} | {"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": ["masked-lm", "fill-in-the-blanks"]} | null | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
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