modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
bpben/en_imdb_sent_trf | 2023-05-10T14:09:43.000Z | [
"spacy",
"text-classification",
"en",
"region:us"
] | text-classification | bpben | null | null | bpben/en_imdb_sent_trf | 0 | 2 | spacy | 2023-05-10T14:09:26 | ---
tags:
- spacy
- text-classification
language:
- en
model-index:
- name: en_imdb_sent_trf
results: []
---
| Feature | Description |
| --- | --- |
| **Name** | `en_imdb_sent_trf` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.4.4,<3.5.0` |
| **Default Pipeline** | `transformer`, `textcat` |
| **Components** | `tran... | 1,005 | [
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0.0... |
Cynthiaiii4/Text_classification_model_bbu_v3 | 2023-05-10T15:09:08.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Cynthiaiii4 | null | null | Cynthiaiii4/Text_classification_model_bbu_v3 | 0 | 2 | transformers | 2023-05-10T14:40:13 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Text_classification_model_bbu_v3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove thi... | 1,420 | [
[
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Cynthiaiii4/Text_classification_model_bbu_v4 | 2023-05-10T16:54:50.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Cynthiaiii4 | null | null | Cynthiaiii4/Text_classification_model_bbu_v4 | 0 | 2 | transformers | 2023-05-10T15:30:02 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Text_classification_model_bbu_v4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove thi... | 1,418 | [
[
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alistvt/zero-docalog | 2023-05-12T21:47:18.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:doc2dial",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | alistvt | null | null | alistvt/zero-docalog | 0 | 2 | transformers | 2023-05-10T15:33:50 | ---
tags:
- generated_from_trainer
datasets:
- doc2dial
model-index:
- name: zero-docalog
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zero-docalog
This mo... | 1,158 | [
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Consensus/contriever-msmarco | 2023-05-10T17:58:56.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | Consensus | null | null | Consensus/contriever-msmarco | 1 | 2 | sentence-transformers | 2023-05-10T17:56:56 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | 2,961 | [
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Gridflow/distilbert-base-uncased-finetuned-emotion | 2023-05-10T19:01:54.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Gridflow | null | null | Gridflow/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-10T18:28:15 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | 2,059 | [
[
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Ibrahim-Alam/finetuning-roberta-base-on-sst2_1epoch | 2023-10-04T14:05:39.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"dataset:sst2",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Ibrahim-Alam | null | null | Ibrahim-Alam/finetuning-roberta-base-on-sst2_1epoch | 0 | 2 | transformers | 2023-05-10T19:48:58 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- sst2
metrics:
- accuracy
- f1
model-index:
- name: finetuning-roberta-base-on-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: sst2
type: sst2
config: default
split: validation... | 1,519 | [
[
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Adoley/covid-tweets-sentiment-analysis-roberta-model | 2023-05-11T19:25:28.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | Adoley | null | null | Adoley/covid-tweets-sentiment-analysis-roberta-model | 0 | 2 | transformers | 2023-05-10T23:10:10 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: covid-tweets-sentiment-analysis-roberta-model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->... | 1,672 | [
[
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-... |
YaYaB/l3-setfit | 2023-05-11T00:01:06.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"setfit",
"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | YaYaB | null | null | YaYaB/l3-setfit | 0 | 2 | sentence-transformers | 2023-05-10T23:25:52 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# YaYaB/l3-setfit
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning techniq... | 1,519 | [
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0... |
asurinsaka/distilbert-base-uncased-finetuned-emotion | 2023-05-11T01:52:53.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | asurinsaka | null | null | asurinsaka/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-11T01:41:10 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | 1,845 | [
[
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-0.05865478515625,
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Cynthiaiii4/Text_classification_model_bbu_RF | 2023-05-11T15:49:57.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Cynthiaiii4 | null | null | Cynthiaiii4/Text_classification_model_bbu_RF | 0 | 2 | transformers | 2023-05-11T02:15:06 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Text_classification_model_bbu_RF
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove thi... | 1,418 | [
[
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Intel/bert-large-uncased-rte-int8-static | 2023-05-11T05:53:43.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"rte",
"glue",
"torchdistill",
"nlp",
"int8",
"neural-compressor",
"Intel® Neural Compressor",
"text-classfication",
"PostTrainingStatic",
"en",
"dataset:rte",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Intel | null | null | Intel/bert-large-uncased-rte-int8-static | 0 | 2 | transformers | 2023-05-11T02:33:21 | ---
language: en
tags:
- bert
- rte
- glue
- torchdistill
- nlp
- int8
- neural-compressor
- Intel® Neural Compressor
- text-classfication
- PostTrainingStatic
license: apache-2.0
datasets:
- rte
metrics:
- f1
---
# INT8 bert-large-uncased-rte-int8-static
## Post-training static quantization
### PyTorch
This is an ... | 1,008 | [
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November11/distilbert-base-uncased-finetuned-emotion | 2023-05-11T08:54:16.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | November11 | null | null | November11/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-11T03:10:07 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | 1,848 | [
[
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-0.... |
xqchq/test-trainer2 | 2023-05-11T09:42:34.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | xqchq | null | null | xqchq/test-trainer2 | 0 | 2 | transformers | 2023-05-11T03:38:54 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: test-trainer2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test-trainer2
This m... | 1,021 | [
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Intel/distilbert-base-uncased-MRPC-int8-dynamic | 2023-05-11T06:35:32.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"text-classfication",
"nlp",
"neural-compressor",
"PostTrainingDynamic",
"int8",
"Intel® Neural Compressor",
"en",
"dataset:glue",
"dataset:mrpc",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | Intel | null | null | Intel/distilbert-base-uncased-MRPC-int8-dynamic | 0 | 2 | transformers | 2023-05-11T06:12:58 | ---
language: en
license: mit
datasets:
- glue
- mrpc
metrics:
- f1
tags:
- text-classfication
- nlp
- neural-compressor
- PostTrainingDynamic
- int8
- Intel® Neural Compressor
---
# Dynamically quantized DistilBERT base uncased finetuned MPRC
## Table of Contents
- [Model Details](#model-details)
- [How to Get Start... | 1,536 | [
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Intel/distilbert-base-uncased-MRPC-int8-static | 2023-05-11T07:24:22.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"text-classfication",
"nlp",
"neural-compressor",
"PostTrainingsStatic",
"int8",
"Intel® Neural Compressor",
"en",
"dataset:glue",
"dataset:mrpc",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | Intel | null | null | Intel/distilbert-base-uncased-MRPC-int8-static | 0 | 2 | transformers | 2023-05-11T06:37:11 | ---
language: en
license: mit
datasets:
- glue
- mrpc
metrics:
- f1
tags:
- text-classfication
- nlp
- neural-compressor
- PostTrainingsStatic
- int8
- Intel® Neural Compressor
---
# Statically quantized DistilBERT base uncased finetuned MPRC
## Table of Contents
- [Model Details](#model-details)
- [How to Get Starte... | 1,534 | [
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ozoora/kzlbert-3poi | 2023-05-11T07:08:43.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | ozoora | null | null | ozoora/kzlbert-3poi | 0 | 2 | transformers | 2023-05-11T06:49:57 | Use:
tokenizer = BertTokenizerFast.from_pretrained('ozooora/kzlbert-3poi')
model = AutoModelForSequenceClassification.from_pretrained('ozooora/kzlbert-3poi', return_dict=True)
@torch.no_grad()
def predict(text):
inputs = tokenizer(text, max_length=419, padding=True, truncation=True, return_tensors='pt')
out... | 525 | [
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Intel/albert-base-v2-MRPC-int8 | 2023-05-11T07:31:04.000Z | [
"transformers",
"pytorch",
"albert",
"text-classification",
"text-classfication",
"nlp",
"neural-compressor",
"PostTrainingsDynamic",
"int8",
"Intel® Neural Compressor",
"en",
"dataset:glue",
"dataset:mrpc",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | Intel | null | null | Intel/albert-base-v2-MRPC-int8 | 0 | 2 | transformers | 2023-05-11T07:22:42 | ---
language: en
license: mit
datasets:
- glue
- mrpc
metrics:
- f1
tags:
- text-classfication
- nlp
- neural-compressor
- PostTrainingsDynamic
- int8
- Intel® Neural Compressor
- albert
---
# Dynamically quantized Albert base finetuned MPRC
## Table of Contents
- [Model Details](#model-details)
- [How to Get Started... | 1,497 | [
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-0.0110015869140625,
0.00818634033203125,
-0.0281829833984375,
-0.0379638671875,
-0.048065185546875,
... |
Intel/bert-base-uncased-CoLA-int8 | 2023-05-11T08:12:06.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"text-classfication",
"int8",
"Intel® Neural Compressor",
"PostTrainingStatic",
"en",
"dataset:mrpc",
"dataset:cola",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | Intel | null | null | Intel/bert-base-uncased-CoLA-int8 | 0 | 2 | transformers | 2023-05-11T07:39:18 | ---
language: en
license: mit
tags:
- text-classfication
- int8
- Intel® Neural Compressor
- PostTrainingStatic
- bert
datasets:
- mrpc
- cola
metrics:
- f1
---
# INT8 BERT base uncased finetuned CoLA
## Post-training static quantization
### PyTorch
This is an INT8 PyTorch model quantized with [huggingface/optimu... | 1,003 | [
[
-0.0223541259765625,
-0.036529541015625,
0.00481414794921875,
0.0187225341796875,
-0.01763916015625,
0.00970458984375,
-0.0272216796875,
0.0023345947265625,
-0.0075225830078125,
0.00142669677734375,
-0.02001953125,
-0.01708984375,
-0.044708251953125,
-0.0179... |
Cynthiaiii4/Text_classification_model_bbc_v6 | 2023-05-11T09:40:26.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Cynthiaiii4 | null | null | Cynthiaiii4/Text_classification_model_bbc_v6 | 0 | 2 | transformers | 2023-05-11T07:51:34 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Text_classification_model_bbc_v6
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove thi... | 1,540 | [
[
-0.03118896484375,
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0.00768280029296875,
-0.02838134765625,
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-0.01163482666015625,
-0.027740478515625,
0.00510406494140625,
0.021881103515625,
-0.04779052734375,
-0.0546875,
-0.050384521484375,
-0.01... |
Intel/bert-large-uncased-cola-int8 | 2023-05-11T08:18:49.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"text-classfication",
"int8",
"Intel® Neural Compressor",
"PostTrainingStatic",
"en",
"dataset:mrpc",
"dataset:cola",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Intel | null | null | Intel/bert-large-uncased-cola-int8 | 0 | 2 | transformers | 2023-05-11T08:11:16 | ---
language: en
license: apache-2.0
tags:
- text-classfication
- int8
- Intel® Neural Compressor
- PostTrainingStatic
- bert
datasets:
- mrpc
- cola
metrics:
- f1
---
# INT8 BERT large uncased finetuned CoLA
## Post-training static quantization
### PyTorch
This is an INT8 PyTorch model quantized with [huggingfac... | 1,034 | [
[
-0.026702880859375,
-0.035247802734375,
0.0073699951171875,
0.0181121826171875,
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-0.0010538101196289062,
0.0011434555053710938,
-0.019317626953125,
-0.01226806640625,
-0.04379272... |
Intel/bert-base-uncased-STS-B-int8 | 2023-05-11T08:31:50.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"text-classfication",
"int8",
"Intel® Neural Compressor",
"PostTrainingStatic",
"en",
"dataset:mrpc",
"dataset:stsb",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | Intel | null | null | Intel/bert-base-uncased-STS-B-int8 | 0 | 2 | transformers | 2023-05-11T08:22:56 | ---
language: en
license: mit
tags:
- text-classfication
- int8
- Intel® Neural Compressor
- PostTrainingStatic
- bert
datasets:
- mrpc
- stsb
metrics:
- f1
---
# INT8 BERT base uncased finetuned STS-B
## Post-training static quantization
### PyTorch
This is an INT8 PyTorch model quantized with [huggingface/optim... | 1,007 | [
[
-0.0248565673828125,
-0.03765869140625,
0.007598876953125,
0.016510009765625,
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0.0029735565185546875,
-0.0118560791015625,
0.0034961700439453125,
-0.0244598388671875,
-0.0224761962890625,
-0.0453491210... |
Satfail/distilbert-base-uncased-finetuned-emotion | 2023-05-11T08:45:07.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Satfail | null | null | Satfail/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-11T08:29:33 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: split
... | 1,803 | [
[
-0.037628173828125,
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0.022003173828125,
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0.0081329345703125,
-0.055938720703125,
-0.05145263671875,
-0.059906005859375,
-0.0080... |
Intel/bert-base-cased-finetuned-sst2-int8 | 2023-05-11T09:01:46.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"text-classfication",
"int8",
"Intel® Neural Compressor",
"PostTrainingStatic",
"en",
"dataset:mrpc",
"dataset:sst2",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Intel | null | null | Intel/bert-base-cased-finetuned-sst2-int8 | 0 | 2 | transformers | 2023-05-11T08:43:47 | ---
language: en
license: apache-2.0
tags:
- text-classfication
- int8
- Intel® Neural Compressor
- PostTrainingStatic
- bert
datasets:
- mrpc
- sst2
metrics:
- f1
---
# INT8 BERT base uncased finetuned sst2
## Post-training static quantization
### PyTorch
This is an INT8 PyTorch model quantized with [huggingface/... | 1,033 | [
[
-0.020782470703125,
-0.035125732421875,
0.00688934326171875,
0.00994110107421875,
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-0.0278472900390625,
0.005077362060546875,
-0.01169586181640625,
0.004940032958984375,
-0.0231170654296875,
-0.01329803466796875,
-0.04248... |
Intel/bert-base-uncased-QNLI-int8 | 2023-05-11T09:01:24.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"text-classfication",
"int8",
"Intel® Neural Compressor",
"PostTrainingStatic",
"en",
"dataset:mrpc",
"dataset:qnli",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | Intel | null | null | Intel/bert-base-uncased-QNLI-int8 | 0 | 2 | transformers | 2023-05-11T08:49:52 | ---
language: en
license: mit
tags:
- text-classfication
- int8
- Intel® Neural Compressor
- PostTrainingStatic
- bert
datasets:
- mrpc
- qnli
metrics:
- f1
---
# INT8 BERT base uncased finetuned QNLI
## Post-training static quantization
### PyTorch
This is an INT8 PyTorch model quantized with [huggingface/optimu... | 1,003 | [
[
-0.0229644775390625,
-0.026947021484375,
0.0059661865234375,
0.0123291015625,
-0.02093505859375,
0.004024505615234375,
-0.0239410400390625,
0.0026836395263671875,
-0.007358551025390625,
0.0025386810302734375,
-0.026214599609375,
-0.02099609375,
-0.0338134765625,... |
nakcnx/setfit-paraphrase-multilingual-MiniLM-bad_topic | 2023-05-11T08:56:29.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"setfit",
"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | nakcnx | null | null | nakcnx/setfit-paraphrase-multilingual-MiniLM-bad_topic | 0 | 2 | sentence-transformers | 2023-05-11T08:54:08 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# nakcnx/setfit-paraphrase-multilingual-MiniLM-bad_topic
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using... | 1,597 | [
[
-0.01053619384765625,
-0.061767578125,
0.032257080078125,
-0.00045037269592285156,
-0.02764892578125,
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-0.0106964111328125,
0.0015316009521484375,
0.00836181640625,
0.0423583984375,
-0.036773681640625,
-0.0179595947265625,
-0.031402587890625,
... |
xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-5-2 | 2023-05-14T09:59:11.000Z | [
"transformers",
"tf",
"albert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | xinyixiuxiu | null | null | xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-5-2 | 0 | 2 | transformers | 2023-05-11T09:41:37 | ---
tags:
- generated_from_keras_callback
model-index:
- name: xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-5-2
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this... | 1,445 | [
[
-0.029571533203125,
-0.03179931640625,
0.0272216796875,
0.010589599609375,
-0.03656005859375,
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0.005367279052734375,
0.014678955078125,
-0.052490234375,
-0.039947509765625,
-0.056182861328125,
-0.... |
Cynthiaiii4/Text_classification_model_bbu_12500 | 2023-05-11T12:49:26.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Cynthiaiii4 | null | null | Cynthiaiii4/Text_classification_model_bbu_12500 | 0 | 2 | transformers | 2023-05-11T11:22:23 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Text_classification_model_bbu_12500
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove ... | 1,547 | [
[
-0.033935546875,
-0.03790283203125,
0.006988525390625,
0.007129669189453125,
-0.0285186767578125,
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0.006206512451171875,
0.0214080810546875,
-0.04736328125,
-0.05377197265625,
-0.047088623046875,
... |
Michelvh/bert-question-answering-dutch | 2023-05-12T14:25:23.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | Michelvh | null | null | Michelvh/bert-question-answering-dutch | 0 | 2 | transformers | 2023-05-11T11:41:15 | ---
tags:
- generated_from_trainer
model-index:
- name: bert-question-answering-dutch
results: []
dataset:
- type: yhavinga/squad_v2_dutch
- name: Dutch translation of SQUAD v2 dataset by yhavinga
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
sh... | 1,479 | [
[
-0.05084228515625,
-0.06640625,
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0.038116455078125,
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-0.03570556640625,
-0.051513671875,
-0.0120086669921875,... |
MrPark97/distilbert-base-uncased-finetuned-emotion | 2023-05-11T13:52:23.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | MrPark97 | null | null | MrPark97/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-11T13:39:37 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | 1,846 | [
[
-0.037933349609375,
-0.041351318359375,
0.0149078369140625,
0.0218658447265625,
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0.01087188720703125,
0.00843048095703125,
-0.057159423828125,
-0.0518798828125,
-0.0592956542968... |
Camille03/sentiment-model | 2023-06-02T15:00:54.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | Camille03 | null | null | Camille03/sentiment-model | 0 | 2 | transformers | 2023-05-11T14:37:15 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sentiment-model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sentim... | 1,442 | [
[
-0.0382080078125,
-0.04681396484375,
0.01526641845703125,
0.01580810546875,
-0.031402587890625,
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-0.023162841796875,
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0.0146331787109375,
0.01071929931640625,
-0.06134033203125,
-0.0496826171875,
-0.04595947265625,
-0.... |
Santici/distilroberta-base-mrpc-glue-santi-cinotti | 2023-05-11T14:48:33.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Santici | null | null | Santici/distilroberta-base-mrpc-glue-santi-cinotti | 0 | 2 | transformers | 2023-05-11T14:40:13 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: distilroberta-base-mrpc-glue-santi-cinotti
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: mrpc
sp... | 1,836 | [
[
-0.0263824462890625,
-0.042144775390625,
0.00814056396484375,
0.021820068359375,
-0.0284576416015625,
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0.0138397216796875,
0.005382537841796875,
-0.046539306640625,
-0.038970947265625,
-0.0595703125,
... |
zawyar/t5-base-finetuned-urdu | 2023-05-11T16:25:47.000Z | [
"transformers",
"tf",
"t5",
"text2text-generation",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | zawyar | null | null | zawyar/t5-base-finetuned-urdu | 0 | 2 | transformers | 2023-05-11T15:43:54 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: zawyar/t5-base-finetuned-urdu
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# zawy... | 1,588 | [
[
-0.037933349609375,
-0.0309295654296875,
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0.00940704345703125,
-0.03515625,
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-0.01401519775390625,
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0.01505279541015625,
-0.05194091796875,
-0.06005859375,
-0.06201171875,
-0.010... |
Neronuser/dqn-SpaceInvadersNoFrameskip-no-r | 2023-05-11T15:46:38.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Neronuser | null | null | Neronuser/dqn-SpaceInvadersNoFrameskip-no-r | 0 | 2 | stable-baselines3 | 2023-05-11T15:45:57 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | 2,694 | [
[
-0.041717529296875,
-0.036865234375,
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0.0114593505859375,
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0.01300811767578125,
0.0247650146484375,
-0.070068359375,
-0.036163330078125,
-0.026275634765625,
... |
tollefj/setfit-nocola-20-iter-25-epochs | 2023-05-11T17:22:55.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"setfit",
"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | tollefj | null | null | tollefj/setfit-nocola-20-iter-25-epochs | 0 | 2 | sentence-transformers | 2023-05-11T17:22:10 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# tollefj/setfit-nocola-20-iter-25-epochs
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient f... | 1,567 | [
[
-0.00093841552734375,
-0.053680419921875,
0.0242156982421875,
-0.004154205322265625,
-0.00917816162109375,
-0.020843505859375,
-0.01399993896484375,
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-0.004619598388671875,
0.033599853515625,
-0.03790283203125,
-0.022064208984375,
-0.041625976... |
guoluo/Bert_class_1e-06_112epoch | 2023-05-11T17:43:54.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | guoluo | null | null | guoluo/Bert_class_1e-06_112epoch | 0 | 2 | transformers | 2023-05-11T17:43:09 | ---
tags:
- generated_from_keras_callback
model-index:
- name: Bert_class_1e-06
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Bert_class_1e-06
This model is a fin... | 12,033 | [
[
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0.056182861328125,
0.0244903564453125,
-0.04522705078125,
-0.0460205078125,
-0.04083251953125... |
guoluo/Bert_class_1e-06_137epoch | 2023-05-11T18:38:36.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | guoluo | null | null | guoluo/Bert_class_1e-06_137epoch | 0 | 2 | transformers | 2023-05-11T18:37:48 | ---
tags:
- generated_from_keras_callback
model-index:
- name: Bert_class_1e-06_137epoch
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Bert_class_1e-06_137epoch
T... | 14,426 | [
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Adoley/covid-tweets-sentiment-analysis-distilbert-model | 2023-07-04T19:50:48.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | Adoley | null | null | Adoley/covid-tweets-sentiment-analysis-distilbert-model | 0 | 2 | transformers | 2023-05-11T19:35:51 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: covid-tweets-sentiment-analysis-distilbert-model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... | 1,707 | [
[
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shivansh-ka/Multilingual-Toxic-Comment-Roberta | 2023-05-11T20:19:05.000Z | [
"keras",
"region:us"
] | null | shivansh-ka | null | null | shivansh-ka/Multilingual-Toxic-Comment-Roberta | 0 | 2 | keras | 2023-05-11T20:16:57 | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters ... | 741 | [
[
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0... |
guoluo/Bert_class_1e-06_48epoch_loss | 2023-05-11T20:32:03.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | guoluo | null | null | guoluo/Bert_class_1e-06_48epoch_loss | 0 | 2 | transformers | 2023-05-11T20:31:19 | ---
tags:
- generated_from_keras_callback
model-index:
- name: Bert_class_1e-06_48epoch_loss
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Bert_class_1e-06_48epoch... | 5,978 | [
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guoluo/Bert_class_1e-06_50epoch_loss | 2023-05-11T21:03:17.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | guoluo | null | null | guoluo/Bert_class_1e-06_50epoch_loss | 0 | 2 | transformers | 2023-05-11T21:02:36 | ---
tags:
- generated_from_keras_callback
model-index:
- name: Bert_class_1e-06_50epoch_loss
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Bert_class_1e-06_50epoch... | 6,168 | [
[
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guoluo/Bert_class_1e-06_266epoch | 2023-05-11T22:38:35.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | guoluo | null | null | guoluo/Bert_class_1e-06_266epoch | 0 | 2 | transformers | 2023-05-11T22:37:55 | ---
tags:
- generated_from_keras_callback
model-index:
- name: Bert_class_1e-06_266epoch
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Bert_class_1e-06_266epoch
T... | 26,681 | [
[
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hellomattnewman/msba-adrida | 2023-05-12T00:08:41.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | hellomattnewman | null | null | hellomattnewman/msba-adrida | 0 | 2 | transformers | 2023-05-12T00:01:50 | ---
license: "mit"
widget:
- text: "Took the pill, 12 hours later my muscles started to really hurt, then my ribs started to burn so bad I couldn't breath."
---
This model takes text (narrative of reasctions to medications) as input and returns a predicted severity score for the reaction (LABEL_1 is severe reaction).... | 1,087 | [
[
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0.0... |
renbtt/distilbert-base-uncased-finetuned-sti | 2023-05-12T02:39:55.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | renbtt | null | null | renbtt/distilbert-base-uncased-finetuned-sti | 0 | 2 | transformers | 2023-05-12T00:59:27 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-sti
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then ... | 1,496 | [
[
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AustinCarthy/Baseline_10Kphish_benignFall_20_20_20 | 2023-05-12T02:49:33.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | AustinCarthy | null | null | AustinCarthy/Baseline_10Kphish_benignFall_20_20_20 | 0 | 2 | transformers | 2023-05-12T01:52:25 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: Baseline_10Kphish_benignFall_20_20_20
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread a... | 2,236 | [
[
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yamazaki-m/distilbert-base-uncased-finetuned-emotion | 2023-05-12T07:01:06.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | yamazaki-m | null | null | yamazaki-m/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-12T02:26:12 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | 1,842 | [
[
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AustinCarthy/Baseline_100Kphish_benignFall_20_20_20 | 2023-05-12T09:43:16.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | AustinCarthy | null | null | AustinCarthy/Baseline_100Kphish_benignFall_20_20_20 | 0 | 2 | transformers | 2023-05-12T02:49:54 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: Baseline_100Kphish_benignFall_20_20_20
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread ... | 2,244 | [
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tollefj/setfit-nocola-20-iter-25-epochs-allsamples | 2023-05-12T03:21:57.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"setfit",
"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | tollefj | null | null | tollefj/setfit-nocola-20-iter-25-epochs-allsamples | 0 | 2 | sentence-transformers | 2023-05-12T03:21:15 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# tollefj/setfit-nocola-20-iter-25-epochs-allsamples
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an ... | 1,589 | [
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hdks/bert-mrpc | 2023-05-12T04:55:44.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | hdks | null | null | hdks/bert-mrpc | 0 | 2 | transformers | 2023-05-12T04:18:55 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: bert-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: mrpc
split: validation
args: mrpc
... | 1,841 | [
[
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itsmeboris/bert-base-cased-conversational-ner | 2023-05-12T05:35:03.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"token-classification",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | itsmeboris | null | null | itsmeboris/bert-base-cased-conversational-ner | 0 | 2 | transformers | 2023-05-12T05:28:16 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-cased-conversational-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then re... | 2,606 | [
[
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Bhanu9Prakash/dqn-SpaceInvadersNoFrameskip-v4 | 2023-05-12T06:09:04.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Bhanu9Prakash | null | null | Bhanu9Prakash/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-05-12T06:08:30 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | 2,707 | [
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seanghay/distilbert-base-uncased-finetuned-cola | 2023-05-12T06:23:40.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | seanghay | null | null | seanghay/distilbert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-12T06:18:55 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
... | 2,042 | [
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xqchq/TextClassificationTHUCNews | 2023-05-12T08:52:32.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:thuc_news",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | xqchq | null | null | xqchq/TextClassificationTHUCNews | 0 | 2 | transformers | 2023-05-12T07:24:31 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- thuc_news
model-index:
- name: TextClassificationTHUCNews
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... | 1,072 | [
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Jimmie/distilbert-base-uncased-finetuned-emotion | 2023-05-12T08:26:22.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Jimmie | null | null | Jimmie/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-12T07:40:43 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | 1,842 | [
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seanghay/xlm-roberta-base-imdb | 2023-05-12T10:38:06.000Z | [
"transformers",
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"dataset:imdb",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | seanghay | null | null | seanghay/xlm-roberta-base-imdb | 0 | 2 | transformers | 2023-05-12T09:56:06 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: xlm-roberta-base-imdb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
split: test
args: plain... | 1,664 | [
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-0.060546875,
-0.04339599609375,
-0.06365966796875,
-0.0... |
shivansh-ka/Multilingual-Toxic-Comment-Roberta-best | 2023-05-12T10:15:00.000Z | [
"keras",
"region:us"
] | null | shivansh-ka | null | null | shivansh-ka/Multilingual-Toxic-Comment-Roberta-best | 0 | 2 | keras | 2023-05-12T10:13:13 | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters ... | 740 | [
[
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0.0235137939453125,
0.019287109375,
-0.043243408203125,
-0.047882080078125,
-0.03515625,
0.00736236... |
PhDmath/distilbert-base-uncased-finetuned-emotion | 2023-05-12T12:52:33.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | PhDmath | null | null | PhDmath/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-12T11:33:07 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | 1,848 | [
[
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0.01012420654296875,
0.00809478759765625,
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... |
AustinCarthy/Base_100Kphish_benignFall_IL_10K_OnlyPhish_from_benign_top_p_0.75 | 2023-05-12T13:54:37.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | AustinCarthy | null | null | AustinCarthy/Base_100Kphish_benignFall_IL_10K_OnlyPhish_from_benign_top_p_0.75 | 0 | 2 | transformers | 2023-05-12T12:53:56 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: Base_100Kphish_benignFall_IL_10K_OnlyPhish_from_benign_top_p_0.75
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pro... | 2,208 | [
[
-0.032623291015625,
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0.030517578125,
-0.052001953125,
-0.056884765625,
-0.053802490234375,
-0.008... |
berluk/resnet50-fish-rec | 2023-05-12T17:18:31.000Z | [
"keras",
"image-classification",
"region:us"
] | image-classification | berluk | null | null | berluk/resnet50-fish-rec | 0 | 2 | keras | 2023-05-12T13:15:58 | ---
library_name: keras
pipeline_tag: image-classification
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used d... | 545 | [
[
-0.033843994140625,
-0.036163330078125,
0.023681640625,
-0.0035400390625,
-0.031951904296875,
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0.01511383056640625,
0.0185546875,
-0.03497314453125,
-0.04827880859375,
-0.03619384765625,
-0.006... |
TencentARC/QA-CLIP-ViT-L-14 | 2023-05-16T11:19:35.000Z | [
"transformers",
"pytorch",
"chinese_clip",
"zero-shot-image-classification",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | TencentARC | null | null | TencentARC/QA-CLIP-ViT-L-14 | 0 | 2 | transformers | 2023-05-12T13:42:18 | ---
license: apache-2.0
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
candidate_labels: 音乐表演, 体育运动
example_title: 猫和狗
---
[**中文说明**](README_CN.md) | [**English**](README.md)
# Introduction
This project aims to provide a better Chinese CLIP model. The training dat... | 8,888 | [
[
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AustinCarthy/Base_10Kphish_benignFall_IL_10K_OnlyPhish_10K_from_benign_top_p_0.75 | 2023-05-12T14:54:57.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | AustinCarthy | null | null | AustinCarthy/Base_10Kphish_benignFall_IL_10K_OnlyPhish_10K_from_benign_top_p_0.75 | 0 | 2 | transformers | 2023-05-12T13:55:03 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: Base_10Kphish_benignFall_IL_10K_OnlyPhish_10K_from_benign_top_p_0.75
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably ... | 2,214 | [
[
-0.0338134765625,
-0.0390625,
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0.0299530029296875,
-0.049835205078125,
-0.057159423828125,
-0.054473876953125,
-0... |
grenmon/bart-large-finetuned-summarization | 2023-05-12T14:49:29.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | summarization | grenmon | null | null | grenmon/bart-large-finetuned-summarization | 0 | 2 | transformers | 2023-05-12T14:28:31 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-finetuned-summarization
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, ... | 1,899 | [
[
-0.042572021484375,
-0.051666259765625,
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-0.0150604248046875,
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0.032989501953125,
0.03240966796875,
-0.05230712890625,
-0.044342041015625,
-0.04461669921875,
... |
hemagamal/mdeberta_quran_qa_model | 2023-05-12T15:29:29.000Z | [
"transformers",
"tf",
"deberta-v2",
"question-answering",
"generated_from_keras_callback",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | hemagamal | null | null | hemagamal/mdeberta_quran_qa_model | 0 | 2 | transformers | 2023-05-12T14:50:32 | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: hemagamal/mdeberta_quran_qa_model
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# hemagam... | 8,111 | [
[
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0.04803466796875,
0.0256805419921875,
-0.054107666015625,
-0.043182373046875,
-0.04861450195312... |
AustinCarthy/Base_100Kphish_benignFall_IL_10K_OnlyPhish_from_benign_top_p_0.75_lr1e-6 | 2023-05-12T15:54:59.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | AustinCarthy | null | null | AustinCarthy/Base_100Kphish_benignFall_IL_10K_OnlyPhish_from_benign_top_p_0.75_lr1e-6 | 0 | 2 | transformers | 2023-05-12T14:55:18 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: Base_100Kphish_benignFall_IL_10K_OnlyPhish_from_benign_top_p_0.75_lr1e-6
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should proba... | 2,222 | [
[
-0.032867431640625,
-0.037567138671875,
0.0072174072265625,
0.00638580322265625,
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0.00742340087890625,
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0.02642822265625,
0.0296783447265625,
-0.052734375,
-0.05645751953125,
-0.05377197265625,
-0.00... |
timopixel/distilbert-base-uncased-finetuned-squad | 2023-06-07T21:50:44.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | timopixel | null | null | timopixel/distilbert-base-uncased-finetuned-squad | 0 | 2 | transformers | 2023-05-12T15:25:38 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... | 1,432 | [
[
-0.03131103515625,
-0.050140380859375,
0.01103973388671875,
0.02392578125,
-0.02581787109375,
-0.0000883936882019043,
-0.00555419921875,
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0.0016946792602539062,
0.02032470703125,
-0.06988525390625,
-0.041595458984375,
-0.052154541015625,
... |
guoluo/Bert_class_6e-07_1000epoch | 2023-05-12T15:54:43.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | guoluo | null | null | guoluo/Bert_class_6e-07_1000epoch | 0 | 2 | transformers | 2023-05-12T15:53:56 | ---
tags:
- generated_from_keras_callback
model-index:
- name: Bert_class_6e-07_1000epoch
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Bert_class_6e-07_1000epoch
... | 97,414 | [
[
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... |
jason1234/Ai3_bert_embedding_model | 2023-05-12T16:54:49.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | jason1234 | null | null | jason1234/Ai3_bert_embedding_model | 0 | 2 | sentence-transformers | 2023-05-12T16:04:09 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | 3,700 | [
[
-0.01910400390625,
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0.027313232421875,
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-0.0516357421875,
-0.0... |
AustinCarthy/Base_10Kphish_benignFall_IL_10Krealphish | 2023-05-12T17:22:27.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | AustinCarthy | null | null | AustinCarthy/Base_10Kphish_benignFall_IL_10Krealphish | 0 | 2 | transformers | 2023-05-12T16:10:35 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: Base_10Kphish_benignFall_IL_10Krealphish_0.75
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... | 2,167 | [
[
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... |
stillerman/MDEL-pubmed-feelaw-github-arxiv | 2023-05-12T18:18:39.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"MDEL",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | stillerman | null | null | stillerman/MDEL-pubmed-feelaw-github-arxiv | 0 | 2 | transformers | 2023-05-12T18:11:40 |
---
tags:
- MDEL
---
# Model Name
stillerman/MDEL-pubmed-feelaw-github-arxiv
# Model Description
This model was generated by averaging the weights of the following models
- [Multi-Domain-Expert-Layers/expert-pubmed_central](https://huggingface.co/Multi-Domain-Expert-Layers/expert-pubmed_central)
- [Multi-Domain-Expe... | 631 | [
[
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IRI2070/dal-sbert-address-distilled-v1 | 2023-05-12T21:00:42.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | IRI2070 | null | null | IRI2070/dal-sbert-address-distilled-v1 | 0 | 2 | sentence-transformers | 2023-05-12T21:00:16 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | 3,764 | [
[
-0.0188751220703125,
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-... |
IRI2070/dal-sbert-address-distilled-384-v2 | 2023-05-12T22:24:52.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | IRI2070 | null | null | IRI2070/dal-sbert-address-distilled-384-v2 | 0 | 2 | sentence-transformers | 2023-05-12T22:23:40 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | 3,764 | [
[
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0.0161285400390625,
0.026611328125,
-0.04833984375,
-0.045989990234375,
-0.05133056640625,
-... |
hoang14/viettel-videberta-finetune-viquad-model7 | 2023-05-13T05:50:52.000Z | [
"transformers",
"pytorch",
"tensorboard",
"deberta-v2",
"question-answering",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | hoang14 | null | null | hoang14/viettel-videberta-finetune-viquad-model7 | 0 | 2 | transformers | 2023-05-13T03:40:00 | ---
tags:
- generated_from_trainer
model-index:
- name: viettel-videberta-finetune-viquad-model7
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# viettel-videbe... | 1,542 | [
[
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0.03515625,
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... |
hoang14/viettel-videberta-finetune-viquad-model8 | 2023-05-13T06:01:37.000Z | [
"transformers",
"pytorch",
"tensorboard",
"deberta-v2",
"question-answering",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | hoang14 | null | null | hoang14/viettel-videberta-finetune-viquad-model8 | 0 | 2 | transformers | 2023-05-13T04:25:42 | ---
tags:
- generated_from_trainer
model-index:
- name: viettel-videberta-finetune-viquad-model8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# viettel-videbe... | 1,313 | [
[
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... |
AlekseyKorshuk/roberta-with-topic | 2023-05-13T11:09:06.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | AlekseyKorshuk | null | null | AlekseyKorshuk/roberta-with-topic | 0 | 2 | transformers | 2023-05-13T07:58:23 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-with-topic
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# rob... | 3,548 | [
[
-0.0489501953125,
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0.00241851806640625,
-0.0030460357666015625,
-0.00670623779296875,
-0.0037994384765625,
-0.007610321044921875,
0.0421142578125,
0.0236358642578125,
-0.052734375,
-0.046966552734375,
-0.044281005859375,
... |
alup/bert-uncased-finetuned-mrpc | 2023-05-13T20:59:51.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | alup | null | null | alup/bert-uncased-finetuned-mrpc | 0 | 2 | transformers | 2023-05-13T18:49:44 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: bert-uncased-finetuned-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: mrpc
split: validation... | 1,879 | [
[
-0.0352783203125,
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-0.0374755859375,
-0.049468994140625,
-0.022... |
huanvo88/dqn-SpaceInvadersNoFrameskip-v4 | 2023-05-13T20:48:25.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | huanvo88 | null | null | huanvo88/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-05-13T20:48:01 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | 2,691 | [
[
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0.025421142578125,
-0.0693359375,
-0.0352783203125,
-0.0267791748046875,
-0.004844... |
agestau/dummy-fashion-classification | 2023-05-13T21:58:05.000Z | [
"transformers",
"pytorch",
"tensorboard",
"swin",
"image-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | agestau | null | null | agestau/dummy-fashion-classification | 0 | 2 | transformers | 2023-05-13T20:52:01 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dummy-fashion-classification
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... | 1,610 | [
[
-0.02239990234375,
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0.00225830078125,
0.00884246826171875,
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-0.0517578125,
-0.033660888671875,
-0.00696... |
Ioanaaaaaaa/distilbert-base-uncased-finetuned-emotion | 2023-05-14T14:50:12.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Ioanaaaaaaa | null | null | Ioanaaaaaaa/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-13T21:01:11 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | 1,846 | [
[
-0.03802490234375,
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swadesh7/finetuning-l3-bert-latest | 2023-05-13T23:11:18.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | swadesh7 | null | null | swadesh7/finetuning-l3-bert-latest | 0 | 2 | transformers | 2023-05-13T23:04:32 | ---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: finetuning-l3-bert-latest
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning... | 1,250 | [
[
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0.0178375244140625,
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-0.032684326171875,
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-0.... |
jojo0616/my_SA_distilbert_model_finalversion | 2023-05-14T02:19:30.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | jojo0616 | null | null | jojo0616/my_SA_distilbert_model_finalversion | 0 | 2 | transformers | 2023-05-14T01:29:32 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_SA_distilbert_model_finalversion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove ... | 1,945 | [
[
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... |
vg055/roberta-base-bne-finetuned-TripAdvisorDomainAdaptation-finetuned-e2-RestMex2023-polaridadDA-V1 | 2023-05-14T07:58:26.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | vg055 | null | null | vg055/roberta-base-bne-finetuned-TripAdvisorDomainAdaptation-finetuned-e2-RestMex2023-polaridadDA-V1 | 0 | 2 | transformers | 2023-05-14T02:14:25 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: roberta-base-bne-finetuned-TripAdvisorDomainAdaptation-finetuned-e2-RestMex2023-polaridadDA-V1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
sh... | 1,612 | [
[
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... |
Svetlana0303/Regression_albert_NOaug_MSEloss | 2023-05-14T03:53:41.000Z | [
"transformers",
"pytorch",
"tensorboard",
"albert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Svetlana0303 | null | null | Svetlana0303/Regression_albert_NOaug_MSEloss | 0 | 2 | transformers | 2023-05-14T03:47:15 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Regression_albert_NOaug_MSEloss
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this... | 2,734 | [
[
-0.039154052734375,
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-0.055145263671875,
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... |
50stars/distilbert_imdb_genre_classifier | 2023-05-14T09:39:05.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | 50stars | null | null | 50stars/distilbert_imdb_genre_classifier | 0 | 2 | transformers | 2023-05-14T07:13:55 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
model-index:
- name: distilbert_imdb_genre_classifier
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then ... | 2,295 | [
[
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0.022491455078125,
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-0.0517578125,
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-0... |
andrei-saceleanu/vit-base-vocalsound-logmel | 2023-05-14T08:28:13.000Z | [
"transformers",
"tf",
"vit",
"feature-extraction",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | andrei-saceleanu | null | null | andrei-saceleanu/vit-base-vocalsound-logmel | 0 | 2 | transformers | 2023-05-14T08:17:55 | ---
license: apache-2.0
model-index:
- name: vit-base-vocalsound-logmel
results: []
---
# vit-base-vocalsound-logmel
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on [VocalSound](https://github.com/YuanGongND/vocalsound) dataset.
It achieves ... | 1,215 | [
[
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yotoshihiro/ppo-PyramidsTESTCOLAB | 2023-05-14T09:58:32.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | yotoshihiro | null | null | yotoshihiro/ppo-PyramidsTESTCOLAB | 0 | 2 | ml-agents | 2023-05-14T09:57:11 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 960 | [
[
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songyi-ng/distilbert_base_uncased_SST2_finetune | 2023-05-26T03:56:50.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | songyi-ng | null | null | songyi-ng/distilbert_base_uncased_SST2_finetune | 0 | 2 | transformers | 2023-05-14T12:54:54 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilbert_base_uncased_SST2_finetune
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
confi... | 2,597 | [
[
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kargaranamir/T5R-base | 2023-10-24T01:27:07.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"en",
"dataset:tatsu-lab/alpaca",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | kargaranamir | null | null | kargaranamir/T5R-base | 0 | 2 | transformers | 2023-05-14T17:25:28 | ---
license: mit
datasets:
- tatsu-lab/alpaca
tags:
- generated_from_trainer
- text2text-generation
model-index:
- name: T5R-base
results: []
pipeline_tag: text2text-generation
language:
- en
widget:
- text: |
Instruction: X
Output: Adolf Hitler (German: [ˈadɔlf ˈhɪtlɐ] (listen); 20 April 18... | 2,555 | [
[
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0.... |
choihyunsoo/distilbert-base-uncased-finetuned-emotion | 2023-05-14T20:03:48.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | choihyunsoo | null | null | choihyunsoo/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-14T19:59:19 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | 1,848 | [
[
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-0.05938720703125,
-0.00860... |
HashShan/distilbert-base-uncased-finetuned-cola | 2023-05-14T20:30:04.000Z | [
"transformers",
"tf",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | HashShan | null | null | HashShan/distilbert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-14T20:26:08 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: HashShan/distilbert-base-uncased-finetuned-cola
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this co... | 1,945 | [
[
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0.0017290115356445312,
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-0.013488... |
Anikerry/en_pipeline | 2023-05-14T23:29:35.000Z | [
"spacy",
"token-classification",
"en",
"model-index",
"region:us"
] | token-classification | Anikerry | null | null | Anikerry/en_pipeline | 0 | 2 | spacy | 2023-05-14T21:37:44 | ---
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 1.0
- name: NER Recall
type: recall
value: 1.0
- name: NER F Score
... | 1,147 | [
[
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Yahiael1/mymodel_final_v2 | 2023-05-18T20:59:32.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"arxiv:1910.09700",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | Yahiael1 | null | null | Yahiael1/mymodel_final_v2 | 0 | 2 | transformers | 2023-05-15T01:54:44 | ---
model-index:
- name: Yahiael1/mymodel_final_v2
results:
- task:
type: summarization
name: summarization
dataset:
name: newsroom
type: newsroom
split: test
metrics:
- type: rouge1
value: 0.37837302008660717
name: rouge1
- type: rouge2
value: 0.26270... | 5,443 | [
[
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0.05035400390625,
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-0.05072021484375,
-0.04168701171875,
-0.010... |
platzi/platzi-distilroberta-base-mrpc-glue-pablo-campino1 | 2023-05-15T03:47:49.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | platzi | null | null | platzi/platzi-distilroberta-base-mrpc-glue-pablo-campino1 | 0 | 2 | transformers | 2023-05-15T02:13:05 | ---
license: apache-2.0
tags:
- text-classification
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
widget:
- text: ["The traffic light are named fases", "The traffic lights are named overlaps"]
example_title : not Equivalent
- text: ["The traffic light are named fases", "The traffic lights are nam... | 2,138 | [
[
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... |
shihab17/bn-to-en-translation | 2023-05-21T04:17:25.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"marian",
"text2text-generation",
"generated_from_trainer",
"text-generation-inference",
"bn",
"en",
"dataset:kde4",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | shihab17 | null | null | shihab17/bn-to-en-translation | 0 | 2 | transformers | 2023-05-15T03:26:41 | ---
license: apache-2.0
tags:
- generated_from_trainer
- text-generation-inference
datasets:
- kde4
metrics:
- bleu
model-index:
- name: bengali-bn-to-en
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: kde4
type: kde4
config: ... | 2,934 | [
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Yeran1225/distilbert-base-uncased-finetuned-emotion | 2023-05-15T07:48:53.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Yeran1225 | null | null | Yeran1225/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-15T07:43:14 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | 1,848 | [
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hihijiwon/distilbert-base-uncased-finetuned-emotion | 2023-05-15T07:48:44.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | hihijiwon | null | null | hihijiwon/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-15T07:43:21 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | 1,843 | [
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thetmyatnoe/distilbert-base-uncased-finetuned-emotion | 2023-05-15T07:49:08.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | thetmyatnoe | null | null | thetmyatnoe/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-15T07:43:36 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | 1,846 | [
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DheHun/distilbert-base-uncased-finetuned-emotion | 2023-05-15T07:49:29.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | DheHun | null | null | DheHun/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-15T07:44:59 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split... | 1,848 | [
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yujiepan/mobilebert-uncased-squadv1-14blocks-structured39.8-int8 | 2023-05-15T12:32:55.000Z | [
"transformers",
"pytorch",
"onnx",
"openvino",
"mobilebert",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | yujiepan | null | null | yujiepan/mobilebert-uncased-squadv1-14blocks-structured39.8-int8 | 0 | 2 | transformers | 2023-05-15T12:10:41 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: mobilebert-uncased-squadv1-14blocks-structured39.8-int8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proof... | 889 | [
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0.036376953125,
-0.0596923828125,
-0.036468505859375,
-0.04022216796875,
-0... |
burningfalls/my-fine-tuned-bert | 2023-05-28T01:18:42.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"en",
"ko",
"dataset:AI-Hub",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | burningfalls | null | null | burningfalls/my-fine-tuned-bert | 1 | 2 | transformers | 2023-05-15T13:05:24 | ---
language:
- en
- ko
license: apache-2.0
datasets: AI-Hub
metrics:
- accuracy
pipeline_tag: text-classification
---
# 1. Introduction
## 1.1 examples
## 1.2 f1-score
![bert_accuracy](https://github.c... | 3,701 | [
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0.0175... |
sai1881/bloom-560m-Forecast | 2023-05-15T16:24:25.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bloom",
"text-generation",
"generated_from_trainer",
"license:bigscience-bloom-rail-1.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | sai1881 | null | null | sai1881/bloom-560m-Forecast | 0 | 2 | transformers | 2023-05-15T14:46:20 | ---
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
model-index:
- name: bloom-560m-Forecast
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ... | 1,217 | [
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0.0223846435546875,
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-0.016... |
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