id stringlengths 4 81 | date_checked date32 | created timestamp[us] | last_repo_commit timestamp[us, tz=UTC] | tags list | pipeline_tag stringclasses 15 values | author stringlengths 2 19 ⌀ | likes int64 0 1.46k | downloads int64 0 49.1M | library_name stringclasses 5 values | license stringclasses 7 values | language list | datasets list | number_authors int64 1 16 | readme_length int64 0 14k ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
albert-base-v1 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-20T13:28:51Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 3 | 35,474 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 5 | 9,789 |
albert-base-v2 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-11-04T17:00:52Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 68 | 8,053,038 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 10 | 9,643 |
albert-large-v1 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-20T13:28:51Z | [
"transformers",
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 0 | 1,910 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 3 | 9,681 |
albert-large-v2 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-11-04T17:00:53Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 12 | 6,656 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 5 | 9,682 |
albert-xlarge-v1 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-20T13:28:51Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 0 | 1,675 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 5 | 9,689 |
albert-xlarge-v2 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-11-04T17:00:53Z | [
"transformers",
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 3 | 2,523 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 3 | 9,690 |
albert-xxlarge-v1 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-20T13:28:51Z | [
"transformers",
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 2 | 2,798 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 3 | 9,698 |
albert-xxlarge-v2 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-11-04T17:00:52Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 11 | 22,702 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 5 | 9,849 |
bert-base-cased-finetuned-mrpc | 2023-10-24 | 2022-03-02T23:29:04 | 2019-06-18T21:02:17Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 0 | 10,098 | transformers | null | [] | null | 6 | 15 |
bert-base-cased | 2023-10-24 | 2022-03-02T23:29:04 | 2018-11-15T00:35:08Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 152 | 5,253,125 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 6 | 8,891 |
bert-base-chinese | 2023-10-24 | 2022-03-02T23:29:04 | 2018-11-15T00:35:08Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"zh",
"arxiv:1810.04805",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 587 | 414,476 | transformers | null | [] | null | 8 | 1,825 |
bert-base-german-cased | 2023-10-24 | 2022-03-02T23:29:04 | 2019-06-18T09:14:06Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"exbert",
"de",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 47 | 76,710 | transformers | mit | [] | null | 6 | 4,053 |
bert-base-german-dbmdz-cased | 2023-10-24 | 2022-03-02T23:29:04 | 2019-09-25T16:48:39Z | [
"transformers",
"pytorch",
"jax",
"bert",
"fill-mask",
"de",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 0 | 1,440 | transformers | mit | [] | null | 5 | 240 |
bert-base-german-dbmdz-uncased | 2023-10-24 | 2022-03-02T23:29:04 | 2019-09-25T16:50:02Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"fill-mask",
"de",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 2 | 274,553 | transformers | mit | [] | null | 7 | 247 |
bert-base-multilingual-cased | 2023-10-24 | 2022-03-02T23:29:04 | 2018-11-30T14:36:24Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
"fi",
"fr",
"gl",
"ka",
"de",
"el",
"gu",
"ht",
"he",
"hi",
"hu",
"is",
"io",
"id",
"ga",
"it",
"ja",
"jv",
"kn",
"kk",
"ky",
"ko",
"la",
"lv",
"lt",
"roa",
"nds",
"lm",
"mk",
"mg",
"ms",
"ml",
"mr",
"mn",
"min",
"ne",
"new",
"nb",
"nn",
"oc",
"fa",
"pms",
"pl",
"pt",
"pa",
"ro",
"ru",
"sco",
"sr",
"scn",
"sk",
"sl",
"aze",
"es",
"su",
"sw",
"sv",
"tl",
"tg",
"th",
"ta",
"tt",
"te",
"tr",
"uk",
"ud",
"uz",
"vi",
"vo",
"war",
"cy",
"fry",
"pnb",
"yo",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 239 | 3,747,676 | transformers | apache-2.0 | [] | [
"wikipedia"
] | 7 | 6,498 |
bert-base-multilingual-uncased | 2023-10-24 | 2022-03-02T23:29:04 | 2018-11-30T14:36:23Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
"fi",
"fr",
"gl",
"ka",
"de",
"el",
"gu",
"ht",
"he",
"hi",
"hu",
"is",
"io",
"id",
"ga",
"it",
"ja",
"jv",
"kn",
"kk",
"ky",
"ko",
"la",
"lv",
"lt",
"roa",
"nds",
"lm",
"mk",
"mg",
"ms",
"ml",
"mr",
"min",
"ne",
"new",
"nb",
"nn",
"oc",
"fa",
"pms",
"pl",
"pt",
"pa",
"ro",
"ru",
"sco",
"sr",
"scn",
"sk",
"sl",
"aze",
"es",
"su",
"sw",
"sv",
"tl",
"tg",
"ta",
"tt",
"te",
"tr",
"uk",
"ud",
"uz",
"vi",
"vo",
"war",
"cy",
"fry",
"pnb",
"yo",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 57 | 781,690 | transformers | apache-2.0 | [] | [
"wikipedia"
] | 8 | 8,334 |
bert-base-uncased | 2023-10-24 | 2022-03-02T23:29:04 | 2018-11-15T00:35:08Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"coreml",
"onnx",
"safetensors",
"bert",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 1,159 | 46,898,145 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 15 | 10,426 |
bert-large-cased-whole-word-masking-finetuned-squad | 2023-10-24 | 2022-03-02T23:29:04 | 2019-06-18T21:49:26Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | null | 1 | 48,721 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 7 | 6,043 |
bert-large-cased-whole-word-masking | 2023-10-24 | 2022-03-02T23:29:04 | 2019-06-15T21:59:11Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 4 | 1,012 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 5 | 9,603 |
bert-large-cased | 2023-10-24 | 2022-03-02T23:29:04 | 2018-11-30T14:36:23Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 12 | 2,141,592 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 7 | 9,138 |
bert-large-uncased-whole-word-masking-finetuned-squad | 2023-10-24 | 2022-03-02T23:29:04 | 2019-06-18T13:41:43Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | null | 97 | 162,246 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 7 | 6,164 |
bert-large-uncased-whole-word-masking | 2023-10-24 | 2022-03-02T23:29:04 | 2019-06-17T07:55:04Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 10 | 216,156 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 7 | 9,687 |
bert-large-uncased | 2023-10-24 | 2022-03-02T23:29:04 | 2018-11-15T00:35:08Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 53 | 1,240,940 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 6 | 8,885 |
camembert-base | 2023-10-24 | 2022-03-02T23:29:04 | 2019-11-16T05:17:25Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"camembert",
"fill-mask",
"fr",
"dataset:oscar",
"arxiv:1911.03894",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 43 | 3,387,642 | transformers | mit | [] | [
"oscar"
] | 6 | 6,917 |
Salesforce/ctrl | 2023-10-24 | 2022-03-02T23:29:04 | 2019-10-09T15:54:29Z | [
"transformers",
"pytorch",
"tf",
"ctrl",
"text-generation",
"en",
"arxiv:1909.05858",
"arxiv:1910.09700",
"license:bsd-3-clause",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | Salesforce | 5 | 10,433 | transformers | bsd-3-clause | [] | null | 7 | 12,382 |
distilbert-base-cased-distilled-squad | 2023-10-24 | 2022-03-02T23:29:04 | 2020-02-07T20:16:00Z | [
"transformers",
"pytorch",
"tf",
"rust",
"safetensors",
"openvino",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"arxiv:1910.01108",
"arxiv:1910.09700",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | null | 138 | 222,420 | transformers | apache-2.0 | [] | [
"squad"
] | 10 | 8,504 |
distilbert-base-cased | 2023-10-24 | 2022-03-02T23:29:04 | 2020-02-07T20:16:00Z | [
"transformers",
"pytorch",
"tf",
"onnx",
"safetensors",
"distilbert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1910.01108",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 21 | 628,183 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 10 | 8,735 |
distilbert-base-german-cased | 2023-10-24 | 2022-03-02T23:29:04 | 2019-11-19T19:16:50Z | [
"transformers",
"pytorch",
"safetensors",
"distilbert",
"fill-mask",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 11 | 23,931 | transformers | apache-2.0 | [] | null | 7 | 32 |
distilbert-base-multilingual-cased | 2023-10-24 | 2022-03-02T23:29:04 | 2019-11-25T20:22:20Z | [
"transformers",
"pytorch",
"tf",
"onnx",
"safetensors",
"distilbert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
"fi",
"fr",
"gl",
"ka",
"de",
"el",
"gu",
"ht",
"he",
"hi",
"hu",
"is",
"io",
"id",
"ga",
"it",
"ja",
"jv",
"kn",
"kk",
"ky",
"ko",
"la",
"lv",
"lt",
"roa",
"nds",
"lm",
"mk",
"mg",
"ms",
"ml",
"mr",
"mn",
"min",
"ne",
"new",
"nb",
"nn",
"oc",
"fa",
"pms",
"pl",
"pt",
"pa",
"ro",
"ru",
"sco",
"sr",
"scn",
"sk",
"sl",
"aze",
"es",
"su",
"sw",
"sv",
"tl",
"tg",
"th",
"ta",
"tt",
"te",
"tr",
"uk",
"ud",
"uz",
"vi",
"vo",
"war",
"cy",
"fry",
"pnb",
"yo",
"dataset:wikipedia",
"arxiv:1910.01108",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 78 | 4,634,121 | transformers | apache-2.0 | [] | [
"wikipedia"
] | 8 | 6,710 |
distilbert-base-uncased-distilled-squad | 2023-10-24 | 2022-03-02T23:29:04 | 2019-08-28T12:06:26Z | [
"transformers",
"pytorch",
"tf",
"tflite",
"coreml",
"safetensors",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"arxiv:1910.01108",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | null | 58 | 2,016,228 | transformers | apache-2.0 | [] | [
"squad"
] | 7 | 8,586 |
distilbert-base-uncased-finetuned-sst-2-english | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-13T16:30:34Z | [
"transformers",
"pytorch",
"tf",
"rust",
"safetensors",
"distilbert",
"text-classification",
"en",
"dataset:sst2",
"dataset:glue",
"arxiv:1910.01108",
"doi:10.57967/hf/0181",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | null | 323 | 31,568,648 | transformers | apache-2.0 | [] | [
"sst2",
"glue"
] | 10 | 3,942 |
distilbert-base-uncased | 2023-10-24 | 2022-03-02T23:29:04 | 2019-08-28T12:31:11Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"distilbert",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1910.01108",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 281 | 10,219,280 | transformers | apache-2.0 | [] | [
"bookcorpus",
"wikipedia"
] | 8 | 8,486 |
distilgpt2 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-10-03T14:08:13Z | [
"transformers",
"pytorch",
"tf",
"jax",
"tflite",
"rust",
"coreml",
"safetensors",
"gpt2",
"text-generation",
"exbert",
"en",
"dataset:openwebtext",
"arxiv:1910.01108",
"arxiv:2201.08542",
"arxiv:2203.12574",
"arxiv:1910.09700",
"arxiv:1503.02531",
"license:apache-2.0",
"model-index",
"co2_eq_emissions",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | null | 266 | 1,636,135 | transformers | apache-2.0 | [] | [
"openwebtext"
] | 9 | 10,594 |
distilroberta-base | 2023-10-24 | 2022-03-02T23:29:04 | 2019-10-17T19:12:53Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"roberta",
"fill-mask",
"exbert",
"en",
"dataset:openwebtext",
"arxiv:1910.01108",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 85 | 3,105,409 | transformers | apache-2.0 | [] | [
"openwebtext"
] | 8 | 7,417 |
gpt2-large | 2023-10-24 | 2022-03-02T23:29:04 | 2019-08-21T00:28:36Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"onnx",
"safetensors",
"gpt2",
"text-generation",
"en",
"arxiv:1910.09700",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | null | 170 | 273,741 | transformers | mit | [] | null | 9 | 12,312 |
gpt2-medium | 2023-10-24 | 2022-03-02T23:29:04 | 2019-05-08T19:05:02Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"onnx",
"safetensors",
"gpt2",
"text-generation",
"en",
"arxiv:1910.09700",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | null | 85 | 458,853 | transformers | mit | [] | null | 9 | 11,854 |
gpt2-xl | 2023-10-24 | 2022-03-02T23:29:04 | 2019-11-05T18:51:20Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"gpt2",
"text-generation",
"en",
"arxiv:1910.09700",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | null | 202 | 937,407 | transformers | mit | [] | null | 7 | 11,933 |
gpt2 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-02-18T11:36:15Z | [
"transformers",
"pytorch",
"tf",
"jax",
"tflite",
"rust",
"onnx",
"safetensors",
"gpt2",
"text-generation",
"exbert",
"en",
"doi:10.57967/hf/0039",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | null | 1,448 | 24,126,526 | transformers | mit | [] | null | 8 | 8,040 |
openai-gpt | 2023-10-24 | 2022-03-02T23:29:04 | 2019-01-08T16:40:22Z | [
"transformers",
"pytorch",
"tf",
"rust",
"safetensors",
"openai-gpt",
"text-generation",
"en",
"arxiv:1705.11168",
"arxiv:1803.02324",
"arxiv:1910.09700",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | null | 187 | 41,575 | transformers | mit | [] | null | 6 | 14,043 |
roberta-base-openai-detector | 2023-10-24 | 2022-03-02T23:29:04 | 2019-11-06T22:12:27Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"roberta",
"text-classification",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1904.09751",
"arxiv:1910.09700",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | null | 81 | 113,238 | transformers | mit | [] | [
"bookcorpus",
"wikipedia"
] | 11 | 9,620 |
roberta-base | 2023-10-24 | 2022-03-02T23:29:04 | 2019-08-03T22:16:18Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"roberta",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1907.11692",
"arxiv:1806.02847",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 230 | 7,966,289 | transformers | mit | [] | [
"bookcorpus",
"wikipedia"
] | 5 | 8,980 |
roberta-large-mnli | 2023-10-24 | 2022-03-02T23:29:04 | 2019-08-05T01:03:17Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"roberta",
"text-classification",
"autogenerated-modelcard",
"en",
"dataset:multi_nli",
"dataset:wikipedia",
"dataset:bookcorpus",
"arxiv:1907.11692",
"arxiv:1806.02847",
"arxiv:1804.07461",
"arxiv:1704.05426",
"arxiv:1508.05326",
"arxiv:1809.05053",
"arxiv:1910.09700",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | null | 89 | 145,527 | transformers | mit | [] | [
"multi_nli",
"wikipedia",
"bookcorpus"
] | 6 | 10,597 |
roberta-large-openai-detector | 2023-10-24 | 2022-03-02T23:29:04 | 2019-11-06T22:23:05Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"text-classification",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1904.09751",
"arxiv:1910.09700",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | null | 8 | 8,932 | transformers | mit | [] | [
"bookcorpus",
"wikipedia"
] | 5 | 9,097 |
roberta-large | 2023-10-24 | 2022-03-02T23:29:04 | 2019-08-05T01:03:17Z | [
"transformers",
"pytorch",
"tf",
"jax",
"onnx",
"safetensors",
"roberta",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1907.11692",
"arxiv:1806.02847",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 132 | 4,250,303 | transformers | mit | [] | [
"bookcorpus",
"wikipedia"
] | 4 | 9,187 |
t5-11b | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-13T16:24:37Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:c4",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:1808.09121",
"arxiv:1810.12885",
"arxiv:1905.10044",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | translation | null | 41 | 15,335 | transformers | apache-2.0 | [] | [
"c4"
] | 9 | 8,462 |
t5-3b | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-13T17:09:06Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:c4",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:1808.09121",
"arxiv:1810.12885",
"arxiv:1905.10044",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | translation | null | 24 | 107,874 | transformers | apache-2.0 | [] | [
"c4"
] | 9 | 7,740 |
t5-base | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-12T11:37:43Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"dataset:c4",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:1808.09121",
"arxiv:1810.12885",
"arxiv:1905.10044",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | translation | null | 355 | 1,964,405 | transformers | apache-2.0 | [] | [
"c4"
] | 11 | 8,343 |
t5-large | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-12T11:37:43Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:c4",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:1808.09121",
"arxiv:1810.12885",
"arxiv:1905.10044",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | translation | null | 107 | 333,250 | transformers | apache-2.0 | [] | [
"c4"
] | 12 | 8,348 |
t5-small | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-11T13:49:33Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"onnx",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:c4",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:1808.09121",
"arxiv:1810.12885",
"arxiv:1905.10044",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | translation | null | 158 | 2,402,035 | transformers | apache-2.0 | [] | [
"c4"
] | 16 | 8,348 |
transfo-xl-wt103 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-02-06T16:11:13Z | [
"transformers",
"pytorch",
"tf",
"transfo-xl",
"text-generation",
"en",
"dataset:wikitext-103",
"arxiv:1901.02860",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | null | 6 | 86,184 | transformers | null | [] | [
"wikitext-103"
] | 5 | 5,254 |
xlm-clm-ende-1024 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-07-10T23:27:43Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"xlm",
"fill-mask",
"multilingual",
"en",
"de",
"arxiv:1901.07291",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 0 | 46,973 | transformers | null | [] | null | 7 | 4,934 |
xlm-clm-enfr-1024 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-07-10T23:27:43Z | [
"transformers",
"pytorch",
"tf",
"xlm",
"fill-mask",
"multilingual",
"en",
"fr",
"arxiv:1901.07291",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 0 | 376 | transformers | null | [] | null | 6 | 4,958 |
xlm-mlm-100-1280 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-08-30T14:27:50Z | [
"transformers",
"pytorch",
"tf",
"xlm",
"fill-mask",
"multilingual",
"en",
"es",
"fr",
"de",
"zh",
"ru",
"pt",
"it",
"ar",
"ja",
"id",
"tr",
"nl",
"pl",
"fa",
"vi",
"sv",
"ko",
"he",
"ro",
"no",
"hi",
"uk",
"cs",
"fi",
"hu",
"th",
"da",
"ca",
"el",
"bg",
"sr",
"ms",
"bn",
"hr",
"sl",
"az",
"sk",
"eo",
"ta",
"sh",
"lt",
"et",
"ml",
"la",
"bs",
"sq",
"arz",
"af",
"ka",
"mr",
"eu",
"tl",
"ang",
"gl",
"nn",
"ur",
"kk",
"be",
"hy",
"te",
"lv",
"mk",
"als",
"is",
"wuu",
"my",
"sco",
"mn",
"ceb",
"ast",
"cy",
"kn",
"br",
"an",
"gu",
"bar",
"uz",
"lb",
"ne",
"si",
"war",
"jv",
"ga",
"oc",
"ku",
"sw",
"nds",
"ckb",
"ia",
"yi",
"fy",
"scn",
"gan",
"tt",
"am",
"arxiv:1901.07291",
"arxiv:1911.02116",
"arxiv:1910.09700",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 2 | 2,379 | transformers | cc-by-nc-4.0 | [] | null | 6 | 5,524 |
xlm-mlm-17-1280 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-08-31T18:21:39Z | [
"transformers",
"pytorch",
"tf",
"xlm",
"fill-mask",
"multilingual",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"sv",
"pl",
"ru",
"ar",
"tr",
"zh",
"ja",
"ko",
"hi",
"vi",
"arxiv:1901.07291",
"arxiv:1911.02116",
"arxiv:1910.09700",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 2 | 209 | transformers | cc-by-nc-4.0 | [] | null | 6 | 5,468 |
xlm-mlm-en-2048 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-07-05T08:19:04Z | [
"transformers",
"pytorch",
"tf",
"xlm",
"fill-mask",
"exbert",
"en",
"arxiv:1901.07291",
"arxiv:1911.02116",
"arxiv:1910.09700",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 0 | 6,450 | transformers | cc-by-nc-4.0 | [] | null | 6 | 4,551 |
xlm-mlm-ende-1024 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-07-10T21:21:44Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"xlm",
"fill-mask",
"multilingual",
"en",
"de",
"arxiv:1901.07291",
"arxiv:1910.09700",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 1 | 373 | transformers | cc-by-nc-4.0 | [] | null | 7 | 5,709 |
xlm-mlm-enfr-1024 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-07-10T21:21:44Z | [
"transformers",
"pytorch",
"tf",
"xlm",
"fill-mask",
"multilingual",
"en",
"fr",
"arxiv:1901.07291",
"arxiv:1910.09700",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 0 | 331 | transformers | cc-by-nc-4.0 | [] | null | 6 | 5,709 |
xlm-mlm-enro-1024 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-07-10T21:21:46Z | [
"transformers",
"pytorch",
"tf",
"xlm",
"fill-mask",
"multilingual",
"en",
"ro",
"arxiv:1901.07291",
"arxiv:1910.09700",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 0 | 150 | transformers | cc-by-nc-4.0 | [] | null | 6 | 5,715 |
xlm-mlm-tlm-xnli15-1024 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-07-10T21:21:54Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"xlm",
"fill-mask",
"multilingual",
"en",
"fr",
"es",
"de",
"el",
"bg",
"ru",
"tr",
"ar",
"vi",
"th",
"zh",
"hi",
"sw",
"ur",
"arxiv:1901.07291",
"arxiv:1910.09700",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 0 | 411 | transformers | cc-by-nc-4.0 | [] | null | 7 | 9,794 |
xlm-mlm-xnli15-1024 | 2023-10-24 | 2022-03-02T23:29:04 | 2019-07-10T21:21:56Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"xlm",
"fill-mask",
"multilingual",
"en",
"fr",
"es",
"de",
"el",
"bg",
"ru",
"tr",
"ar",
"vi",
"th",
"zh",
"hi",
"sw",
"ur",
"arxiv:1901.07291",
"arxiv:1910.09700",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 0 | 200 | transformers | cc-by-nc-4.0 | [] | null | 7 | 10,037 |
xlm-roberta-base | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-18T23:37:14Z | [
"transformers",
"pytorch",
"tf",
"jax",
"onnx",
"safetensors",
"xlm-roberta",
"fill-mask",
"exbert",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
"hy",
"id",
"is",
"it",
"ja",
"jv",
"ka",
"kk",
"km",
"kn",
"ko",
"ku",
"ky",
"la",
"lo",
"lt",
"lv",
"mg",
"mk",
"ml",
"mn",
"mr",
"ms",
"my",
"ne",
"nl",
"no",
"om",
"or",
"pa",
"pl",
"ps",
"pt",
"ro",
"ru",
"sa",
"sd",
"si",
"sk",
"sl",
"so",
"sq",
"sr",
"su",
"sv",
"sw",
"ta",
"te",
"th",
"tl",
"tr",
"ug",
"uk",
"ur",
"uz",
"vi",
"xh",
"yi",
"zh",
"arxiv:1911.02116",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 401 | 12,263,740 | transformers | mit | [] | null | 10 | 4,711 |
xlm-roberta-large-finetuned-conll02-dutch | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-19T21:19:49Z | [
"transformers",
"pytorch",
"rust",
"xlm-roberta",
"fill-mask",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
"hy",
"id",
"is",
"it",
"ja",
"jv",
"ka",
"kk",
"km",
"kn",
"ko",
"ku",
"ky",
"la",
"lo",
"lt",
"lv",
"mg",
"mk",
"ml",
"mn",
"mr",
"ms",
"my",
"ne",
"nl",
"no",
"om",
"or",
"pa",
"pl",
"ps",
"pt",
"ro",
"ru",
"sa",
"sd",
"si",
"sk",
"sl",
"so",
"sq",
"sr",
"su",
"sv",
"sw",
"ta",
"te",
"th",
"tl",
"tr",
"ug",
"uk",
"ur",
"uz",
"vi",
"xh",
"yi",
"zh",
"arxiv:1911.02116",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 1 | 491 | transformers | null | [] | null | 3 | 5,855 |
xlm-roberta-large-finetuned-conll02-spanish | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-19T21:00:11Z | [
"transformers",
"pytorch",
"rust",
"safetensors",
"xlm-roberta",
"fill-mask",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
"hy",
"id",
"is",
"it",
"ja",
"jv",
"ka",
"kk",
"km",
"kn",
"ko",
"ku",
"ky",
"la",
"lo",
"lt",
"lv",
"mg",
"mk",
"ml",
"mn",
"mr",
"ms",
"my",
"ne",
"nl",
"no",
"om",
"or",
"pa",
"pl",
"ps",
"pt",
"ro",
"ru",
"sa",
"sd",
"si",
"sk",
"sl",
"so",
"sq",
"sr",
"su",
"sv",
"sw",
"ta",
"te",
"th",
"tl",
"tr",
"ug",
"uk",
"ur",
"uz",
"vi",
"xh",
"yi",
"zh",
"arxiv:1911.02116",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 1 | 475 | transformers | null | [] | null | 5 | 5,980 |
xlm-roberta-large-finetuned-conll03-english | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-19T16:25:42Z | [
"transformers",
"pytorch",
"rust",
"xlm-roberta",
"token-classification",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
"hy",
"id",
"is",
"it",
"ja",
"jv",
"ka",
"kk",
"km",
"kn",
"ko",
"ku",
"ky",
"la",
"lo",
"lt",
"lv",
"mg",
"mk",
"ml",
"mn",
"mr",
"ms",
"my",
"ne",
"nl",
"no",
"om",
"or",
"pa",
"pl",
"ps",
"pt",
"ro",
"ru",
"sa",
"sd",
"si",
"sk",
"sl",
"so",
"sq",
"sr",
"su",
"sv",
"sw",
"ta",
"te",
"th",
"tl",
"tr",
"ug",
"uk",
"ur",
"uz",
"vi",
"xh",
"yi",
"zh",
"arxiv:1911.02116",
"arxiv:2008.03415",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | null | 67 | 103,108 | transformers | null | [] | null | 3 | 7,169 |
xlm-roberta-large-finetuned-conll03-german | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-19T21:10:42Z | [
"transformers",
"pytorch",
"rust",
"xlm-roberta",
"token-classification",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
"hy",
"id",
"is",
"it",
"ja",
"jv",
"ka",
"kk",
"km",
"kn",
"ko",
"ku",
"ky",
"la",
"lo",
"lt",
"lv",
"mg",
"mk",
"ml",
"mn",
"mr",
"ms",
"my",
"ne",
"nl",
"no",
"om",
"or",
"pa",
"pl",
"ps",
"pt",
"ro",
"ru",
"sa",
"sd",
"si",
"sk",
"sl",
"so",
"sq",
"sr",
"su",
"sv",
"sw",
"ta",
"te",
"th",
"tl",
"tr",
"ug",
"uk",
"ur",
"uz",
"vi",
"xh",
"yi",
"zh",
"arxiv:1911.02116",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | null | 2 | 985 | transformers | null | [] | null | 4 | 5,964 |
xlm-roberta-large | 2023-10-24 | 2022-03-02T23:29:04 | 2019-12-18T23:39:18Z | [
"transformers",
"pytorch",
"tf",
"jax",
"onnx",
"safetensors",
"xlm-roberta",
"fill-mask",
"exbert",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
"hy",
"id",
"is",
"it",
"ja",
"jv",
"ka",
"kk",
"km",
"kn",
"ko",
"ku",
"ky",
"la",
"lo",
"lt",
"lv",
"mg",
"mk",
"ml",
"mn",
"mr",
"ms",
"my",
"ne",
"nl",
"no",
"om",
"or",
"pa",
"pl",
"ps",
"pt",
"ro",
"ru",
"sa",
"sd",
"si",
"sk",
"sl",
"so",
"sq",
"sr",
"su",
"sv",
"sw",
"ta",
"te",
"th",
"tl",
"tr",
"ug",
"uk",
"ur",
"uz",
"vi",
"xh",
"yi",
"zh",
"arxiv:1911.02116",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | 211 | 3,824,886 | transformers | mit | [] | null | 12 | 4,715 |
xlnet-base-cased | 2023-10-24 | 2022-03-02T23:29:04 | 2019-07-16T07:27:27Z | [
"transformers",
"pytorch",
"tf",
"rust",
"xlnet",
"text-generation",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1906.08237",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | null | 48 | 301,313 | transformers | mit | [] | [
"bookcorpus",
"wikipedia"
] | 4 | 2,627 |
xlnet-large-cased | 2023-10-24 | 2022-03-02T23:29:04 | 2019-06-21T14:13:25Z | [
"transformers",
"pytorch",
"tf",
"xlnet",
"text-generation",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1906.08237",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | null | 18 | 113,742 | transformers | mit | [] | [
"bookcorpus",
"wikipedia"
] | 4 | 2,630 |
007J/smile | 2023-10-24 | 2022-03-02T23:29:04 | 2022-01-20T13:13:34Z | [
"region:us"
] | null | 007J | 0 | 0 | null | null | [] | null | 1 | 15 |
0307061430/xuangou | 2023-10-24 | 2022-03-02T23:29:04 | 2021-12-27T08:10:20Z | [
"region:us"
] | null | 0307061430 | 0 | 0 | null | null | [] | null | 1 | 15 |
09panesara/distilbert-base-uncased-finetuned-cola | 2023-10-24 | 2022-03-02T23:29:04 | 2021-12-21T14:49:04Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | 09panesara | 0 | 30 | transformers | apache-2.0 | [] | [
"glue"
] | 2 | 1,572 |
0x7194633/keyt5-base | 2023-10-24 | 2022-03-02T23:29:04 | 2022-01-07T09:49:17Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"ru",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | 0x7194633 | 0 | 81 | transformers | mit | [] | null | 2 | 2,482 |
0x7194633/keyt5-large | 2023-10-24 | 2022-03-02T23:29:04 | 2022-01-07T09:45:40Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"ru",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | 0x7194633 | 0 | 133 | transformers | mit | [] | null | 3 | 2,475 |
0xDEADBEA7/DialoGPT-small-rick | 2023-10-24 | 2022-03-02T23:29:04 | 2022-02-22T05:17:07Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | conversational | 0xDEADBEA7 | 0 | 160 | transformers | null | [] | null | 2 | 30 |
123123/ghfk | 2023-10-24 | 2022-03-02T23:29:04 | 2021-10-03T04:08:59Z | [
"region:us"
] | null | 123123 | 0 | 0 | null | null | [] | null | 1 | 15 |
123456/Arcanegan | 2023-10-24 | 2022-03-02T23:29:04 | 2021-12-24T15:37:12Z | [
"region:us"
] | null | 123456 | 1 | 0 | null | null | [] | null | 2 | 0 |
1234567/1234567 | 2023-10-24 | 2022-03-02T23:29:04 | 2021-12-13T03:42:30Z | [
"region:us"
] | null | 1234567 | 0 | 0 | null | null | [] | null | 2 | 0 |
123abhiALFLKFO/albert-base-v2-finetuned-sst2 | 2023-10-24 | 2022-03-02T23:29:04 | 2021-08-06T17:06:25Z | [
"region:us"
] | null | 123abhiALFLKFO | 0 | 0 | null | null | [] | null | 1 | 15 |
123abhiALFLKFO/albert-base-v2-yelp-polarity-finetuned-sst2 | 2023-10-24 | 2022-03-02T23:29:04 | 2021-08-06T18:33:27Z | [
"region:us"
] | null | 123abhiALFLKFO | 0 | 0 | null | null | [] | null | 1 | 15 |
123abhiALFLKFO/distilbert-base-uncased-finetuned-cola | 2023-10-24 | 2022-03-02T23:29:04 | 2021-08-05T05:27:13Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | 123abhiALFLKFO | 0 | 10 | transformers | apache-2.0 | [] | [
"glue"
] | 2 | 1,570 |
123addfg/ar | 2023-10-24 | 2022-03-02T23:29:04 | 2022-01-02T17:17:09Z | [
"region:us"
] | null | 123addfg | 0 | 0 | null | null | [] | null | 1 | 15 |
123www/test_model | 2023-10-24 | 2022-03-02T23:29:04 | 2022-01-10T06:38:06Z | [
"transformers",
"pytorch",
"wav2vec2",
"endpoints_compatible",
"region:us"
] | null | 123www | 0 | 0 | transformers | null | [] | null | 2 | 15 |
13048909972/wav2vec2-common_voice-tr-demo | 2023-10-24 | 2022-03-02T23:29:04 | 2021-12-07T03:43:45Z | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 13048909972 | 0 | 3 | transformers | null | [] | null | 2 | 15 |
13048909972/wav2vec2-large-xls-r-300m-tr-colab | 2023-10-24 | 2022-03-02T23:29:04 | 2021-11-30T09:52:05Z | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 13048909972 | 0 | 0 | transformers | null | [] | null | 2 | 15 |
13048909972/wav2vec2-large-xlsr-53_common_voice_20211210112254 | 2023-10-24 | 2022-03-02T23:29:04 | 2021-12-10T04:24:08Z | [
"region:us"
] | null | 13048909972 | 0 | 0 | null | null | [] | null | 1 | 15 |
13048909972/wav2vec2-large-xlsr-53_common_voice_20211211085606 | 2023-10-24 | 2022-03-02T23:29:04 | 2021-12-11T01:57:23Z | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 13048909972 | 0 | 3 | transformers | null | [] | null | 2 | 15 |
13306330378/huiqi_model | 2023-10-24 | 2022-03-02T23:29:04 | 2021-11-14T09:10:24Z | [
"region:us"
] | null | 13306330378 | 0 | 0 | null | null | [] | null | 1 | 15 |
13on/gpt2-wishes | 2023-10-24 | 2022-03-02T23:29:04 | 2022-02-17T17:03:11Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 13on | 0 | 3 | transformers | null | [] | null | 2 | 15 |
13on/kw2t-wishes | 2023-10-24 | 2022-03-02T23:29:04 | 2022-02-28T05:10:13Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | 13on | 0 | 1 | transformers | null | [] | null | 2 | 15 |
13onn/gpt2-wishes-2 | 2023-10-24 | 2022-03-02T23:29:04 | 2022-02-23T15:43:55Z | [
"region:us"
] | null | 13onn | 0 | 0 | null | null | [] | null | 1 | 15 |
13onnn/gpt2-wish | 2023-10-24 | 2022-03-02T23:29:04 | 2022-02-17T16:32:24Z | [
"region:us"
] | null | 13onnn | 0 | 0 | null | null | [] | null | 1 | 15 |
1503277708/namo | 2023-10-24 | 2022-03-02T23:29:04 | 2021-12-27T04:04:50Z | [
"region:us"
] | null | 1503277708 | 0 | 0 | null | null | [] | null | 1 | 15 |
1575/7447 | 2023-10-24 | 2022-03-02T23:29:04 | 2021-11-30T12:38:54Z | [
"region:us"
] | null | 1575 | 0 | 0 | null | null | [] | null | 1 | 15 |
1712871/manual_vn_electra_small | 2023-10-24 | 2022-03-02T23:29:04 | 2020-11-24T08:55:02Z | [
"region:us"
] | null | 1712871 | 0 | 0 | null | null | [] | null | 1 | 15 |
1757968399/tinybert_4_312_1200 | 2023-10-24 | 2022-03-02T23:29:04 | 2020-07-27T07:24:21Z | [
"transformers",
"pytorch",
"endpoints_compatible",
"region:us"
] | null | 1757968399 | 0 | 17 | transformers | null | [] | null | 1 | 15 |
17luke/wav2vec2-large-xls-r-300m-icelandic-samromur | 2023-10-24 | 2022-03-02T23:29:04 | 2022-02-16T20:02:14Z | [
"region:us"
] | null | 17luke | 0 | 0 | null | null | [] | null | 2 | 15 |
18811449050/bert_cn_finetuning | 2023-10-24 | 2022-03-02T23:29:04 | 2020-08-11T14:38:06Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | 18811449050 | 0 | 28 | transformers | null | [] | null | 2 | 15 |
18811449050/bert_finetuning_test | 2023-10-24 | 2022-03-02T23:29:04 | 2020-08-11T14:18:25Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | 18811449050 | 0 | 25 | transformers | null | [] | null | 2 | 15 |
1Basco/DialoGPT-small-jake | 2023-10-24 | 2022-03-02T23:29:04 | 2021-09-22T03:21:12Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | conversational | 1Basco | 0 | 84 | transformers | null | [] | null | 2 | 29 |
1n3skh/idk | 2023-10-24 | 2022-03-02T23:29:04 | 2021-04-11T11:22:17Z | [
"region:us"
] | null | 1n3skh | 0 | 0 | null | null | [] | null | 1 | 15 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.