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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
YakovElm/Jira5Classic_512 | 2023-05-28T19:57:41.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Jira5Classic_512 | 0 | 2 | transformers | 2023-05-28T19:57:07 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Jira5Classic_512
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. -->
# Jira5Classic_512
... | 1,776 | [
[
-0.04144287109375,
-0.039154052734375,
0.0209503173828125,
-0.00028896331787109375,
-0.0343017578125,
-0.02752685546875,
-0.01629638671875,
-0.026214599609375,
0.01470947265625,
0.01128387451171875,
-0.05194091796875,
-0.048919677734375,
-0.05047607421875,
-... |
tobro/distilbert-base-uncased-finetuned-emotion | 2023-05-28T20:39:06.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | tobro | null | null | tobro/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-28T20:16:55 | ---
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 | [
[
-0.038482666015625,
-0.041839599609375,
0.01511383056640625,
0.0220794677734375,
-0.0264434814453125,
-0.019317626953125,
-0.013275146484375,
-0.0089569091796875,
0.0104827880859375,
0.00858306884765625,
-0.056610107421875,
-0.051849365234375,
-0.059417724609375... |
YakovElm/IntelDAOS10Classic_512 | 2023-05-28T20:29:54.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/IntelDAOS10Classic_512 | 0 | 2 | transformers | 2023-05-28T20:29:21 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: IntelDAOS10Classic_512
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. -->
# IntelDAOS10... | 1,788 | [
[
-0.044464111328125,
-0.040496826171875,
0.0210113525390625,
0.0008249282836914062,
-0.032867431640625,
-0.02789306640625,
-0.018768310546875,
-0.0276641845703125,
0.01404571533203125,
0.01036834716796875,
-0.052886962890625,
-0.048065185546875,
-0.05154418945312... |
YakovElm/MariaDB10Classic_512 | 2023-05-28T20:50:36.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/MariaDB10Classic_512 | 0 | 2 | transformers | 2023-05-28T20:49:40 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: MariaDB10Classic_512
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. -->
# MariaDB10Clas... | 1,784 | [
[
-0.04290771484375,
-0.042633056640625,
0.021759033203125,
0.0036373138427734375,
-0.034515380859375,
-0.030364990234375,
-0.0149993896484375,
-0.0253143310546875,
0.016632080078125,
0.013702392578125,
-0.0545654296875,
-0.0479736328125,
-0.052490234375,
-0.0... |
YakovElm/IntelDAOS15Classic_512 | 2023-05-28T21:46:54.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/IntelDAOS15Classic_512 | 0 | 2 | transformers | 2023-05-28T21:46:21 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: IntelDAOS15Classic_512
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. -->
# IntelDAOS15... | 1,788 | [
[
-0.044464111328125,
-0.042327880859375,
0.020660400390625,
0.0022735595703125,
-0.034881591796875,
-0.028167724609375,
-0.0184326171875,
-0.0264892578125,
0.014495849609375,
0.01070404052734375,
-0.0540771484375,
-0.0482177734375,
-0.0518798828125,
-0.024963... |
YakovElm/Jira10Classic_512 | 2023-05-28T22:07:50.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Jira10Classic_512 | 0 | 2 | transformers | 2023-05-28T22:07:15 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Jira10Classic_512
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. -->
# Jira10Classic_51... | 1,778 | [
[
-0.040924072265625,
-0.04150390625,
0.0205841064453125,
0.0007038116455078125,
-0.03302001953125,
-0.0290985107421875,
-0.0169525146484375,
-0.0254974365234375,
0.015716552734375,
0.01230621337890625,
-0.050750732421875,
-0.04766845703125,
-0.0509033203125,
... |
YakovElm/MariaDB15Classic_512 | 2023-05-28T22:18:49.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/MariaDB15Classic_512 | 0 | 2 | transformers | 2023-05-28T22:18:15 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: MariaDB15Classic_512
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. -->
# MariaDB15Clas... | 1,784 | [
[
-0.04364013671875,
-0.042266845703125,
0.021270751953125,
0.003101348876953125,
-0.03387451171875,
-0.0310821533203125,
-0.016510009765625,
-0.0265350341796875,
0.01485443115234375,
0.01413726806640625,
-0.05474853515625,
-0.04840087890625,
-0.0518798828125,
... |
YakovElm/Qt5Classic_512 | 2023-05-28T22:23:51.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Qt5Classic_512 | 0 | 2 | transformers | 2023-05-28T22:23:04 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Qt5Classic_512
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. -->
# Qt5Classic_512
Thi... | 1,772 | [
[
-0.040496826171875,
-0.034881591796875,
0.022705078125,
0.0007238388061523438,
-0.034271240234375,
-0.0253143310546875,
-0.011199951171875,
-0.023468017578125,
0.00717926025390625,
0.01215362548828125,
-0.053802490234375,
-0.049468994140625,
-0.049560546875,
... |
YakovElm/IntelDAOS20Classic_512 | 2023-05-28T23:03:42.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/IntelDAOS20Classic_512 | 0 | 2 | transformers | 2023-05-28T23:03:09 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: IntelDAOS20Classic_512
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. -->
# IntelDAOS20... | 1,788 | [
[
-0.04498291015625,
-0.040802001953125,
0.02130126953125,
0.0011682510375976562,
-0.032501220703125,
-0.02813720703125,
-0.018280029296875,
-0.0283660888671875,
0.01464080810546875,
0.011077880859375,
-0.054901123046875,
-0.04840087890625,
-0.051666259765625,
... |
YakovElm/MariaDB20Classic_512 | 2023-05-28T23:49:01.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/MariaDB20Classic_512 | 0 | 2 | transformers | 2023-05-28T23:48:27 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: MariaDB20Classic_512
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. -->
# MariaDB20Clas... | 1,784 | [
[
-0.043548583984375,
-0.043121337890625,
0.0213165283203125,
0.0035266876220703125,
-0.0335693359375,
-0.030853271484375,
-0.0165252685546875,
-0.0267486572265625,
0.0152587890625,
0.0141448974609375,
-0.05560302734375,
-0.049591064453125,
-0.0517578125,
-0.0... |
YakovElm/Jira15Classic_512 | 2023-05-29T00:33:18.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Jira15Classic_512 | 0 | 2 | transformers | 2023-05-29T00:32:35 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Jira15Classic_512
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. -->
# Jira15Classic_51... | 1,778 | [
[
-0.041748046875,
-0.042633056640625,
0.019989013671875,
0.001056671142578125,
-0.034698486328125,
-0.02923583984375,
-0.017486572265625,
-0.025482177734375,
0.01531219482421875,
0.01255035400390625,
-0.05169677734375,
-0.0479736328125,
-0.051300048828125,
-0... |
YakovElm/Qt10Classic_512 | 2023-05-29T02:45:42.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Qt10Classic_512 | 0 | 2 | transformers | 2023-05-29T02:40:35 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Qt10Classic_512
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. -->
# Qt10Classic_512
T... | 1,774 | [
[
-0.04052734375,
-0.03631591796875,
0.0232391357421875,
0.0021343231201171875,
-0.033660888671875,
-0.02532958984375,
-0.01177978515625,
-0.021636962890625,
0.0091705322265625,
0.012054443359375,
-0.053497314453125,
-0.0478515625,
-0.049163818359375,
-0.02633... |
YakovElm/Jira20Classic_512 | 2023-05-29T03:02:53.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Jira20Classic_512 | 0 | 2 | transformers | 2023-05-29T02:58:12 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Jira20Classic_512
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. -->
# Jira20Classic_51... | 1,778 | [
[
-0.0408935546875,
-0.041290283203125,
0.0206451416015625,
0.0018434524536132812,
-0.032745361328125,
-0.02801513671875,
-0.01715087890625,
-0.025177001953125,
0.01464080810546875,
0.01265716552734375,
-0.05224609375,
-0.048248291015625,
-0.0501708984375,
-0.... |
cesullivan99/sms-spam-weighted | 2023-05-29T07:07:49.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | cesullivan99 | null | null | cesullivan99/sms-spam-weighted | 0 | 2 | transformers | 2023-05-29T04:15:10 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: sms-spam-weighted
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment.... | 2,008 | [
[
-0.03460693359375,
-0.03515625,
0.00971221923828125,
0.0178070068359375,
-0.0152587890625,
-0.0263519287109375,
-0.00641632080078125,
-0.0079803466796875,
0.0229644775390625,
0.024200439453125,
-0.055755615234375,
-0.0506591796875,
-0.057861328125,
-0.016708... |
gokuls/hBERTv1_no_pretrain_cola | 2023-05-29T04:31:54.000Z | [
"transformers",
"pytorch",
"tensorboard",
"hybridbert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/hBERTv1_no_pretrain_cola | 0 | 2 | transformers | 2023-05-29T04:18:06 | ---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: hBERTv1_no_pretrain_cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
config: cola
sp... | 2,384 | [
[
-0.026824951171875,
-0.043853759765625,
0.004024505615234375,
0.0176544189453125,
-0.01538848876953125,
-0.005733489990234375,
0.0011692047119140625,
-0.006488800048828125,
0.036468505859375,
0.0096282958984375,
-0.057037353515625,
-0.041168212890625,
-0.0589294... |
gokuls/hBERTv2_new_no_pretrain_cola | 2023-06-14T13:14:18.000Z | [
"transformers",
"pytorch",
"tensorboard",
"hybridbert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/hBERTv2_new_no_pretrain_cola | 0 | 2 | transformers | 2023-05-29T04:29:32 | ---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: hBERTv2_new_no_pretrain_cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
config: cola
... | 2,607 | [
[
-0.027008056640625,
-0.04217529296875,
0.005451202392578125,
0.01552581787109375,
-0.0116729736328125,
-0.005462646484375,
0.0009822845458984375,
-0.005123138427734375,
0.03265380859375,
0.00995635986328125,
-0.052490234375,
-0.040252685546875,
-0.0582275390625,... |
gokuls/sa_BERT_no_pretrain_cola | 2023-05-29T04:50:30.000Z | [
"transformers",
"pytorch",
"tensorboard",
"hybridbert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/sa_BERT_no_pretrain_cola | 0 | 2 | transformers | 2023-05-29T04:37:10 | ---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: sa_BERT_no_pretrain_cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
config: cola
sp... | 2,639 | [
[
-0.03167724609375,
-0.044219970703125,
0.0042724609375,
0.01486968994140625,
-0.01389312744140625,
-0.00823211669921875,
-0.0007786750793457031,
-0.01132965087890625,
0.039642333984375,
0.00907135009765625,
-0.056976318359375,
-0.03955078125,
-0.055755615234375,... |
gokuls/sa_BERT_no_pretrain_mrpc | 2023-06-14T16:04:48.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/sa_BERT_no_pretrain_mrpc | 0 | 2 | transformers | 2023-05-29T04:50:48 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: sa_BERT_no_pretrain_mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: glue
config: mrpc
... | 2,658 | [
[
-0.04644775390625,
-0.034576416015625,
0.005889892578125,
0.007793426513671875,
-0.0183258056640625,
-0.0175628662109375,
-0.006389617919921875,
-0.013153076171875,
0.027862548828125,
0.018157958984375,
-0.059722900390625,
-0.04364013671875,
-0.050811767578125,
... |
gokuls/add_BERT_no_pretrain_cola | 2023-06-14T12:46:24.000Z | [
"transformers",
"pytorch",
"tensorboard",
"hybridbert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/add_BERT_no_pretrain_cola | 0 | 2 | transformers | 2023-05-29T04:55:14 | ---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: add_BERT_no_pretrain_cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
config: cola
s... | 2,601 | [
[
-0.0305328369140625,
-0.042755126953125,
0.00800323486328125,
0.014495849609375,
-0.01114654541015625,
-0.0095367431640625,
-0.0007734298706054688,
-0.0101470947265625,
0.035980224609375,
0.007320404052734375,
-0.055572509765625,
-0.038665771484375,
-0.055847167... |
gokuls/sa_BERT_no_pretrain_qnli | 2023-06-14T18:49:41.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/sa_BERT_no_pretrain_qnli | 0 | 2 | transformers | 2023-05-29T05:01:29 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: sa_BERT_no_pretrain_qnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE QNLI
type: glue
config: qnli
split... | 2,055 | [
[
-0.029266357421875,
-0.0290069580078125,
0.007595062255859375,
0.007686614990234375,
-0.02435302734375,
-0.0238800048828125,
-0.00525665283203125,
-0.013427734375,
0.0185699462890625,
0.01322174072265625,
-0.0638427734375,
-0.04254150390625,
-0.042236328125,
... |
YakovElm/Qt15Classic_512 | 2023-05-29T06:41:14.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Qt15Classic_512 | 0 | 2 | transformers | 2023-05-29T06:40:38 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Qt15Classic_512
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. -->
# Qt15Classic_512
T... | 1,774 | [
[
-0.041351318359375,
-0.038818359375,
0.02154541015625,
0.00391387939453125,
-0.035888671875,
-0.0275115966796875,
-0.01354217529296875,
-0.0222320556640625,
0.01038360595703125,
0.0124053955078125,
-0.053863525390625,
-0.04888916015625,
-0.050445556640625,
-... |
xavidejuan/dqn-SpaceInvadersNoFrameskip-v4 | 2023-05-29T07:39:43.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | xavidejuan | null | null | xavidejuan/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-05-29T07:39:22 | ---
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
... | 2,698 | [
[
-0.04107666015625,
-0.032745361328125,
0.0204925537109375,
0.02203369140625,
-0.0101470947265625,
-0.015899658203125,
0.01123809814453125,
-0.01407623291015625,
0.01447296142578125,
0.0248260498046875,
-0.0704345703125,
-0.034149169921875,
-0.026092529296875,
... |
gokuls/sa_BERT_no_pretrain_qqp | 2023-06-15T05:40:30.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/sa_BERT_no_pretrain_qqp | 0 | 2 | transformers | 2023-05-29T07:55:56 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: sa_BERT_no_pretrain_qqp
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE QQP
type: glue
config: qqp
spl... | 2,486 | [
[
-0.03509521484375,
-0.0290679931640625,
0.009735107421875,
0.00777435302734375,
-0.020904541015625,
-0.0218963623046875,
-0.0017633438110351562,
-0.01372528076171875,
0.0177764892578125,
0.018096923828125,
-0.05816650390625,
-0.044219970703125,
-0.04736328125,
... |
rzhu/distilbert-base-uncased_emotion_ft_0529 | 2023-05-29T09:01:08.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | rzhu | null | null | rzhu/distilbert-base-uncased_emotion_ft_0529 | 0 | 2 | transformers | 2023-05-29T08:09:23 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
- precision
model-index:
- name: distilbert-base-uncased_emotion_ft_0529
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
con... | 2,166 | [
[
-0.035980224609375,
-0.03607177734375,
0.013641357421875,
0.0198822021484375,
-0.022369384765625,
-0.0168914794921875,
-0.0092926025390625,
-0.006992340087890625,
0.01342010498046875,
0.00881195068359375,
-0.0535888671875,
-0.051910400390625,
-0.059814453125,
... |
rzhu/distilbert-base-uncased_emotion_ft_0416 | 2023-05-29T08:16:34.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | rzhu | null | null | rzhu/distilbert-base-uncased_emotion_ft_0416 | 0 | 2 | transformers | 2023-05-29T08:13:30 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
- precision
model-index:
- name: distilbert-base-uncased_emotion_ft_0416
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
con... | 2,166 | [
[
-0.036041259765625,
-0.03631591796875,
0.01367950439453125,
0.0200042724609375,
-0.0229339599609375,
-0.017181396484375,
-0.00917816162109375,
-0.006591796875,
0.01364898681640625,
0.0093231201171875,
-0.05364990234375,
-0.051544189453125,
-0.060394287109375,
... |
L3tsG0/distilbert-base-uncased-finetuned-emotion | 2023-05-29T09:40:23.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | L3tsG0 | null | null | L3tsG0/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-29T08:58:56 | ---
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 | [
[
-0.037628173828125,
-0.04193115234375,
0.01416778564453125,
0.02191162109375,
-0.0259246826171875,
-0.019378662109375,
-0.01378631591796875,
-0.008880615234375,
0.01120758056640625,
0.00791168212890625,
-0.056610107421875,
-0.051788330078125,
-0.059478759765625,... |
tonirodriguez/roberta-base-bne-finetuned-toxicity-tweets-balanced-12000 | 2023-05-29T09:16:04.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | tonirodriguez | null | null | tonirodriguez/roberta-base-bne-finetuned-toxicity-tweets-balanced-12000 | 0 | 2 | transformers | 2023-05-29T09:13:30 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned-toxicity-tweets-balanced-12000
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and com... | 1,483 | [
[
-0.026153564453125,
-0.04754638671875,
0.01291656494140625,
0.01215362548828125,
-0.0267486572265625,
-0.036651611328125,
-0.01175689697265625,
-0.01377105712890625,
0.01006317138671875,
0.0294342041015625,
-0.04571533203125,
-0.056488037109375,
-0.0523071289062... |
vsrinivas/ppo-LunarLander-v2-vs-ver3 | 2023-05-31T06:32:32.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | vsrinivas | null | null | vsrinivas/ppo-LunarLander-v2-vs-ver3 | 0 | 2 | stable-baselines3 | 2023-05-29T10:31:52 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | 784 | [
[
-0.00023484230041503906,
-0.02716064453125,
0.017059326171875,
0.023345947265625,
-0.00606536865234375,
0.002735137939453125,
0.034454345703125,
-0.012115478515625,
0.019866943359375,
0.06500244140625,
-0.043212890625,
-0.035247802734375,
-0.0343017578125,
-... |
bitextor/bicleaner-ai-full-en-sw | 2023-08-24T10:28:26.000Z | [
"transformers",
"tf",
"xlm-roberta",
"bicleaner-ai",
"en",
"sw",
"multilingual",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | bitextor | null | null | bitextor/bicleaner-ai-full-en-sw | 0 | 2 | transformers | 2023-05-29T11:46:21 | ---
language:
- en
- sw
- multilingual
license: cc-by-sa-4.0
tags:
- bicleaner-ai
tasks:
- text-classification
---
# Bicleaner AI full model for en-sw
Bicleaner AI is a tool that aims at detecting noisy sentence pairs in a parallel corpus. It
indicates the likelihood of a pair of sentences being mutual trans... | 554 | [
[
-0.029205322265625,
-0.07476806640625,
0.025634765625,
0.020751953125,
-0.0257720947265625,
0.01128387451171875,
-0.0164031982421875,
-0.046417236328125,
0.020477294921875,
0.0266876220703125,
-0.0264434814453125,
-0.0279388427734375,
-0.053314208984375,
0.0... |
vnykr/dqn-SpaceInvadersNoFrameskip-v4 | 2023-05-29T12:07:20.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | vnykr | null | null | vnykr/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-05-29T12:06:41 | ---
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
... | 2,681 | [
[
-0.041534423828125,
-0.0367431640625,
0.0214385986328125,
0.0245208740234375,
-0.0099029541015625,
-0.0175323486328125,
0.01291656494140625,
-0.01427459716796875,
0.01297760009765625,
0.024749755859375,
-0.0706787109375,
-0.0352783203125,
-0.0265655517578125,
... |
partypress/partypress-monolingual-austria | 2023-09-14T13:51:31.000Z | [
"transformers",
"pytorch",
"tf",
"bert",
"text-classification",
"partypress",
"political science",
"parties",
"press releases",
"de",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | partypress | null | null | partypress/partypress-monolingual-austria | 0 | 2 | transformers | 2023-05-29T12:10:33 | ---
license: cc-by-sa-4.0
language:
- de
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- partypress
- political science
- parties
- press releases
widget:
- text: 'Immissionsschutzgesetz muss ein Klagerecht für BürgerInnen beinhalten: "Es ist seit Jahren bekannt, welche Maßnahmen zur Reduktion der Feinst... | 6,168 | [
[
-0.0295867919921875,
-0.0305633544921875,
0.01251983642578125,
0.03302001953125,
-0.0242919921875,
0.0010461807250976562,
-0.041656494140625,
-0.014007568359375,
0.0106964111328125,
0.033477783203125,
-0.0445556640625,
-0.06646728515625,
-0.054412841796875,
... |
gokuls/sa_BERT_no_pretrain_rte | 2023-06-15T05:47:43.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/sa_BERT_no_pretrain_rte | 0 | 2 | transformers | 2023-05-29T13:29:15 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: sa_BERT_no_pretrain_rte
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE RTE
type: glue
config: rte
split: v... | 1,987 | [
[
-0.035675048828125,
-0.04425048828125,
0.0081024169921875,
0.01471710205078125,
-0.027587890625,
-0.0338134765625,
-0.01366424560546875,
-0.0167083740234375,
0.0183868408203125,
0.0200042724609375,
-0.059112548828125,
-0.042724609375,
-0.05535888671875,
-0.0... |
gokuls/sa_BERT_no_pretrain_sst2 | 2023-06-15T07:48:32.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/sa_BERT_no_pretrain_sst2 | 0 | 2 | transformers | 2023-05-29T13:35:42 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: sa_BERT_no_pretrain_sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE SST2
type: glue
config: sst2
split... | 2,117 | [
[
-0.0244140625,
-0.0390625,
0.01160430908203125,
0.00963592529296875,
-0.031890869140625,
-0.02178955078125,
-0.01288604736328125,
-0.01435089111328125,
0.0152740478515625,
0.01551055908203125,
-0.05767822265625,
-0.03570556640625,
-0.054473876953125,
-0.0277... |
gokuls/sa_BERT_no_pretrain_stsb | 2023-06-15T08:03:24.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/sa_BERT_no_pretrain_stsb | 0 | 2 | transformers | 2023-05-29T14:26:57 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: sa_BERT_no_pretrain_stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
config: stsb
spli... | 2,355 | [
[
-0.038818359375,
-0.041015625,
0.0099639892578125,
0.0157318115234375,
-0.0265655517578125,
-0.02239990234375,
-0.0125274658203125,
-0.01549530029296875,
0.021270751953125,
0.0161895751953125,
-0.05645751953125,
-0.045684814453125,
-0.0545654296875,
-0.02005... |
gokuls/sa_BERT_no_pretrain_wnli | 2023-06-15T08:08:30.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/sa_BERT_no_pretrain_wnli | 0 | 2 | transformers | 2023-05-29T14:36:04 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: sa_BERT_no_pretrain_wnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE WNLI
type: glue
config: wnli
split... | 2,117 | [
[
-0.038604736328125,
-0.034027099609375,
0.006427764892578125,
0.007068634033203125,
-0.0207061767578125,
-0.027008056640625,
-0.01230621337890625,
-0.0228729248046875,
0.020172119140625,
0.01221466064453125,
-0.064453125,
-0.039703369140625,
-0.04754638671875,
... |
gokuls/sa_BERT_no_pretrain_mnli | 2023-06-15T22:16:47.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gokuls | null | null | gokuls/sa_BERT_no_pretrain_mnli | 0 | 2 | transformers | 2023-05-29T14:41:40 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: sa_BERT_no_pretrain_mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MNLI
type: glue
config: mnli
split... | 2,261 | [
[
-0.038604736328125,
-0.03887939453125,
0.00627899169921875,
0.0081329345703125,
-0.0218048095703125,
-0.0269012451171875,
-0.009429931640625,
-0.0109405517578125,
0.02154541015625,
0.01953125,
-0.060791015625,
-0.0430908203125,
-0.049072265625,
-0.0180511474... |
HassanCS/ChemBERTa-77M-MLM-finetuned-4M | 2023-05-29T17:43:23.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | HassanCS | null | null | HassanCS/ChemBERTa-77M-MLM-finetuned-4M | 0 | 2 | transformers | 2023-05-29T15:19:41 | ---
tags:
- generated_from_trainer
model-index:
- name: ChemBERTa-77M-MLM-finetuned-4M
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. -->
# ChemBERTa-77M-MLM-finetu... | 1,390 | [
[
-0.0266571044921875,
-0.0330810546875,
0.0280303955078125,
-0.002216339111328125,
-0.02166748046875,
-0.01215362548828125,
-0.00806427001953125,
-0.012237548828125,
0.00798797607421875,
0.040069580078125,
-0.0615234375,
-0.05511474609375,
-0.037689208984375,
... |
fredymad/distilbert_estricto_2e-5_16_2 | 2023-05-29T16:05:04.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/distilbert_estricto_2e-5_16_2 | 0 | 2 | transformers | 2023-05-29T16:00:19 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert_estricto_2e-5_16_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this c... | 1,425 | [
[
-0.02862548828125,
-0.04638671875,
0.01471710205078125,
0.01837158203125,
-0.030609130859375,
-0.0277862548828125,
-0.01062774658203125,
-0.0147552490234375,
0.002193450927734375,
0.0149688720703125,
-0.046356201171875,
-0.047271728515625,
-0.058319091796875,
... |
sitthichok0230/finetuned-bert | 2023-05-29T19:28:45.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | sitthichok0230 | null | null | sitthichok0230/finetuned-bert | 0 | 2 | transformers | 2023-05-29T16:06:14 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: finetuned-bert
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: mrpc
split: validation
args: ... | 1,849 | [
[
-0.036041259765625,
-0.055206298828125,
0.0081329345703125,
0.0125885009765625,
-0.0252838134765625,
-0.034454345703125,
-0.018951416015625,
-0.0119171142578125,
0.018646240234375,
0.0188140869140625,
-0.05926513671875,
-0.04168701171875,
-0.04986572265625,
... |
edata/dqn-SpaceInvadersNoFrameskip-v4 | 2023-05-29T18:00:11.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | edata | null | null | edata/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-05-29T17:08:15 | ---
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
... | 2,679 | [
[
-0.04168701171875,
-0.03717041015625,
0.0220947265625,
0.02459716796875,
-0.01018524169921875,
-0.0182037353515625,
0.013427734375,
-0.01337432861328125,
0.01312255859375,
0.0245513916015625,
-0.0706787109375,
-0.035400390625,
-0.0261383056640625,
-0.0046157... |
fredymad/distilbert_laxo_2e-5_16_2 | 2023-05-29T19:06:30.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/distilbert_laxo_2e-5_16_2 | 0 | 2 | transformers | 2023-05-29T18:55:04 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert_laxo_2e-5_16_2
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 comme... | 1,417 | [
[
-0.024444580078125,
-0.0455322265625,
0.01262664794921875,
0.0209808349609375,
-0.0273895263671875,
-0.026580810546875,
-0.00626373291015625,
-0.0132904052734375,
-0.0013189315795898438,
0.015777587890625,
-0.044036865234375,
-0.04302978515625,
-0.05404663085937... |
fredymad/bert_estricto_2e-5_16_2 | 2023-05-29T20:18:12.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/bert_estricto_2e-5_16_2 | 0 | 2 | transformers | 2023-05-29T19:41:32 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_estricto_2e-5_16_2
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... | 1,401 | [
[
-0.031097412109375,
-0.045562744140625,
0.01396942138671875,
0.01751708984375,
-0.034027099609375,
-0.03961181640625,
-0.0229034423828125,
-0.031585693359375,
0.00811767578125,
0.020416259765625,
-0.051788330078125,
-0.045318603515625,
-0.047515869140625,
-0... |
sperera/bert-finetuned-ner | 2023-05-29T22:36:20.000Z | [
"transformers",
"tf",
"bert",
"token-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | sperera | null | null | sperera/bert-finetuned-ner | 0 | 2 | transformers | 2023-05-29T19:56:35 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: sperera/bert-finetuned-ner
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. -->
# sperera... | 1,473 | [
[
-0.049041748046875,
-0.055419921875,
0.0200958251953125,
0.013671875,
-0.03680419921875,
-0.039337158203125,
-0.02484130859375,
-0.01479339599609375,
0.01012420654296875,
0.0167388916015625,
-0.058746337890625,
-0.04156494140625,
-0.057861328125,
-0.02003479... |
a-grishman/bert-base-banking77-pt2 | 2023-05-30T07:17:48.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:banking77",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | a-grishman | null | null | a-grishman/bert-base-banking77-pt2 | 0 | 2 | transformers | 2023-05-29T20:14:10 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- banking77
metrics:
- f1
model-index:
- name: bert-base-banking77-pt2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: banking77
type: banking77
config: default
split: test
... | 1,727 | [
[
-0.02972412109375,
-0.039398193359375,
0.01045989990234375,
0.01326751708984375,
-0.042205810546875,
-0.0263824462890625,
-0.00951385498046875,
-0.01739501953125,
-0.003925323486328125,
0.040771484375,
-0.04254150390625,
-0.043731689453125,
-0.05364990234375,
... |
fredymad/bert_laxo_2e-5_16_2 | 2023-05-29T20:46:36.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/bert_laxo_2e-5_16_2 | 0 | 2 | transformers | 2023-05-29T20:23:59 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_laxo_2e-5_16_2
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. --... | 1,423 | [
[
-0.03106689453125,
-0.045196533203125,
0.01103973388671875,
0.02001953125,
-0.0290679931640625,
-0.039154052734375,
-0.0158233642578125,
-0.037567138671875,
0.00955963134765625,
0.0211181640625,
-0.05194091796875,
-0.03997802734375,
-0.042724609375,
-0.00549... |
ga21902298/dbert-finetuned-433-1 | 2023-05-29T21:58:42.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | ga21902298 | null | null | ga21902298/dbert-finetuned-433-1 | 0 | 2 | transformers | 2023-05-29T20:27:14 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dbert-finetuned-433-1
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. ... | 1,601 | [
[
-0.03338623046875,
-0.0447998046875,
0.01052093505859375,
0.00763702392578125,
-0.0256195068359375,
-0.0262908935546875,
-0.01042938232421875,
-0.008270263671875,
0.00505828857421875,
0.020294189453125,
-0.049713134765625,
-0.04840087890625,
-0.05401611328125,
... |
platzi/platzi-distilroberta-base-mrpc-glue-luis-rascon | 2023-05-29T21:52:52.000Z | [
"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-luis-rascon | 0 | 2 | transformers | 2023-05-29T20:29:18 | ---
license: apache-2.0
tags:
- text-classification
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
widget:
- text: ["Yucaipa owned Dominick 's before selling the chain to Safeway in 1998 for $ 2.5 billion.",
"Yucaipa bought Dominick's in 1995 for $ 693 million and sold it to Safeway for $ 1.8 bill... | 2,424 | [
[
-0.03271484375,
-0.03985595703125,
0.007541656494140625,
0.0196685791015625,
-0.0308074951171875,
-0.0240631103515625,
-0.0127105712890625,
-0.00452423095703125,
0.007778167724609375,
0.010498046875,
-0.04864501953125,
-0.042449951171875,
-0.059478759765625,
... |
pandma/es_billynator_ah | 2023-05-29T20:31:32.000Z | [
"spacy",
"token-classification",
"es",
"model-index",
"region:us"
] | token-classification | pandma | null | null | pandma/es_billynator_ah | 0 | 2 | spacy | 2023-05-29T20:31:07 | ---
tags:
- spacy
- token-classification
language:
- es
model-index:
- name: es_billynator_ah
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9998979071
- name: NER Recall
type: recall
value: 0.9998979071
... | 1,560 | [
[
-0.04486083984375,
-0.0093994140625,
0.013214111328125,
0.0157928466796875,
-0.0300445556640625,
0.0105438232421875,
-0.00238037109375,
-0.004810333251953125,
0.040283203125,
0.04986572265625,
-0.061492919921875,
-0.061676025390625,
-0.035064697265625,
-0.00... |
danieliser/ppo-PyramidsRND-v1 | 2023-05-29T21:47:45.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | danieliser | null | null | danieliser/ppo-PyramidsRND-v1 | 0 | 2 | ml-agents | 2023-05-29T21:47:39 | ---
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).
... | 959 | [
[
-0.0266876220703125,
-0.0196990966796875,
0.00016498565673828125,
0.025970458984375,
-0.01026153564453125,
0.005550384521484375,
0.027069091796875,
-0.00281524658203125,
0.035797119140625,
0.035003662109375,
-0.03607177734375,
-0.051483154296875,
-0.035888671875... |
le1andonly/universityexerciseanothertry | 2023-05-29T23:10:48.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | le1andonly | null | null | le1andonly/universityexerciseanothertry | 0 | 2 | transformers | 2023-05-29T21:53:09 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: universityexerciseanothertry
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 th... | 1,192 | [
[
-0.0301971435546875,
-0.046112060546875,
0.0207366943359375,
0.0072021484375,
-0.03094482421875,
-0.0240478515625,
-0.01212310791015625,
-0.00926971435546875,
0.00604248046875,
0.016876220703125,
-0.0433349609375,
-0.0450439453125,
-0.044586181640625,
-0.002... |
pedroplanel/bert-base-banking77 | 2023-05-29T22:50:01.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:banking77",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | pedroplanel | null | null | pedroplanel/bert-base-banking77 | 0 | 2 | transformers | 2023-05-29T22:37:08 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- banking77
metrics:
- f1
model-index:
- name: bert-base-banking77
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: banking77
type: banking77
config: default
split: test
... | 1,720 | [
[
-0.033355712890625,
-0.041961669921875,
0.00952911376953125,
0.01251983642578125,
-0.03997802734375,
-0.0257568359375,
-0.01171875,
-0.01611328125,
0.00046706199645996094,
0.04248046875,
-0.04522705078125,
-0.046966552734375,
-0.049041748046875,
-0.025817871... |
neiz/distilbert-base-uncased-finetuned-sst-2-english | 2023-05-29T22:53:08.000Z | [
"transformers",
"onnx",
"distilbert",
"text-classification",
"en",
"dataset:sst2",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | neiz | null | null | neiz/distilbert-base-uncased-finetuned-sst-2-english | 0 | 2 | transformers | 2023-05-29T22:39:04 | ---
language: en
license: apache-2.0
datasets:
- sst2
---
# ONNX convert DistilBERT base uncased finetuned SST-2
## Conversion of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english)
This model is a fine-tune checkpoint of [DistilBERT-base-uncased]... | 2,053 | [
[
-0.0205535888671875,
-0.0509033203125,
0.0234527587890625,
0.0213470458984375,
-0.03753662109375,
-0.0119476318359375,
-0.01410675048828125,
-0.025238037109375,
0.0029582977294921875,
0.036468505859375,
-0.043182373046875,
-0.038970947265625,
-0.06011962890625,
... |
pszemraj/e5-small-LinkedCringe-setfit-skl-20it-2e | 2023-05-30T18:31:50.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"setfit",
"text-classification",
"LinkedCringe",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | pszemraj | null | null | pszemraj/e5-small-LinkedCringe-setfit-skl-20it-2e | 0 | 2 | sentence-transformers | 2023-05-30T03:11:29 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
- LinkedCringe
pipeline_tag: text-classification
thumbnail: https://i.ibb.co/SPVBJrz/model-card.jpg
---
# LinkedCringe v0.2: e5-small
> fine-tuned on LinkedCringe v0.2 from [intfloat/e5-small](https://huggingface.co/intfloat/e5-small... | 7,599 | [
[
-0.02020263671875,
-0.06451416015625,
0.0148468017578125,
0.01319122314453125,
-0.0096893310546875,
0.01209259033203125,
-0.0028858184814453125,
-0.044281005859375,
0.0206451416015625,
0.0162811279296875,
-0.04998779296875,
-0.043243408203125,
-0.05902099609375,... |
flashvenom/mpt-7b-base-lora-fix | 2023-05-30T04:56:24.000Z | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"Composer",
"MosaicML",
"llm-foundry",
"StreamingDatasets",
"custom_code",
"dataset:mc4",
"dataset:c4",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:bigcode/the-stack",
"dataset:allenai/s2orc",
"arxiv:2108.12409",
"arxiv:23... | text-generation | flashvenom | null | null | flashvenom/mpt-7b-base-lora-fix | 0 | 2 | transformers | 2023-05-30T03:40:57 | ---
license: apache-2.0
tags:
- Composer
- MosaicML
- llm-foundry
- StreamingDatasets
datasets:
- mc4
- c4
- togethercomputer/RedPajama-Data-1T
- bigcode/the-stack
- allenai/s2orc
inference: false
duplicated_from: mosaicml/mpt-7b
---
## Authors Note: This is MPT-7B with some fixes borrowed from https://huggingface.co/... | 11,674 | [
[
-0.04107666015625,
-0.03460693359375,
0.016510009765625,
0.027313232421875,
-0.033355712890625,
-0.0015077590942382812,
-0.004184722900390625,
-0.03192138671875,
0.006099700927734375,
0.0281524658203125,
-0.05059814453125,
-0.041961669921875,
-0.0458984375,
... |
xmj2002/gpt2_tang_poetry | 2023-05-30T06:31:12.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"zh",
"dataset:xmj2002/tang_poems",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | xmj2002 | null | null | xmj2002/gpt2_tang_poetry | 0 | 2 | transformers | 2023-05-30T05:11:49 | ---
license: apache-2.0
datasets:
- xmj2002/tang_poems
language:
- zh
---
使用的预训练模型为[uer/gpt2-chinese-cluecorpussmall](https://huggingface.co/uer/gpt2-chinese-cluecorpussmall)
## Usage
```python
from transformers import AutoModelForCausalLM
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrai... | 650 | [
[
-0.0037670135498046875,
-0.030181884765625,
-0.0027942657470703125,
0.04351806640625,
-0.0439453125,
-0.00864410400390625,
-0.01386260986328125,
-0.002429962158203125,
-0.002925872802734375,
0.00139617919921875,
-0.04058837890625,
-0.035430908203125,
-0.06280517... |
fredymad/siebert_laxo_2e-5_16_2 | 2023-05-30T06:01:36.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/siebert_laxo_2e-5_16_2 | 0 | 2 | transformers | 2023-05-30T05:43:06 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: siebert_laxo_2e-5_16_2
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. -->
# siebert_laxo... | 1,415 | [
[
-0.028900146484375,
-0.042572021484375,
0.0146636962890625,
0.028350830078125,
-0.027618408203125,
-0.03631591796875,
-0.01079559326171875,
-0.028228759765625,
0.01229095458984375,
0.0236663818359375,
-0.051910400390625,
-0.040863037109375,
-0.048370361328125,
... |
fredymad/Financial_laxo_2e-5_16_2 | 2023-05-30T06:33:21.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/Financial_laxo_2e-5_16_2 | 0 | 2 | transformers | 2023-05-30T06:26:57 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Financial_laxo_2e-5_16_2
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. -->
# Financial_... | 1,423 | [
[
-0.02288818359375,
-0.046112060546875,
0.0014476776123046875,
0.023162841796875,
-0.02410888671875,
-0.0233306884765625,
-0.00849151611328125,
-0.03472900390625,
0.00496673583984375,
0.0288238525390625,
-0.046905517578125,
-0.040771484375,
-0.0428466796875,
... |
casarf/comment_model_test_zucchi | 2023-05-30T10:07:43.000Z | [
"transformers",
"tf",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | casarf | null | null | casarf/comment_model_test_zucchi | 0 | 2 | transformers | 2023-05-30T10:04:00 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: casarf/comment_model_test_zucchi
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. -->
# c... | 1,842 | [
[
-0.046539306640625,
-0.0511474609375,
0.0209808349609375,
0.0011644363403320312,
-0.024200439453125,
-0.0175628662109375,
-0.014556884765625,
-0.007114410400390625,
0.006443023681640625,
-0.0036869049072265625,
-0.049285888671875,
-0.04388427734375,
-0.062225341... |
declare-lab/tango-full | 2023-06-17T07:20:32.000Z | [
"transformers",
"music",
"en",
"dataset:declare-lab/TangoPromptBank",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | declare-lab | null | null | declare-lab/tango-full | 4 | 2 | transformers | 2023-05-30T10:27:30 | ---
license: cc-by-nc-sa-4.0
datasets:
- declare-lab/TangoPromptBank
language:
- en
tags:
- music
---
# TANGO: Text to Audio using iNstruction-Guided diffusiOn
**TANGO** is a latent diffusion model for text-to-audio generation. **TANGO** can generate realistic audios including human sounds, animal sounds, natural and ... | 2,802 | [
[
-0.017791748046875,
-0.06494140625,
0.0258636474609375,
0.035003662109375,
-0.014556884765625,
-0.006122589111328125,
-0.008331298828125,
-0.0110321044921875,
0.0012798309326171875,
0.02813720703125,
-0.055084228515625,
-0.05340576171875,
-0.028228759765625,
... |
RosyB/distilbert-base-uncased-finetuned-cola | 2023-05-31T09:19:35.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | RosyB | null | null | RosyB/distilbert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-30T11:51:52 | ---
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
... | 2,040 | [
[
-0.0230712890625,
-0.0491943359375,
0.0108642578125,
0.018096923828125,
-0.022796630859375,
-0.01053619384765625,
-0.0071868896484375,
-0.0035533905029296875,
0.0214996337890625,
0.01087188720703125,
-0.04730224609375,
-0.035369873046875,
-0.06109619140625,
... |
fredymad/bert_Pfinal_2e-5_16_2 | 2023-06-02T10:50:02.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/bert_Pfinal_2e-5_16_2 | 0 | 2 | transformers | 2023-05-30T12:23:27 | ---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert_Pfinal_2e-5_16_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert_Pfinal_2e-5_16... | 1,401 | [
[
-0.0350341796875,
-0.045654296875,
0.01222991943359375,
0.0246124267578125,
-0.0321044921875,
-0.0299072265625,
-0.0233154296875,
-0.019989013671875,
0.00518798828125,
0.018218994140625,
-0.059051513671875,
-0.044036865234375,
-0.0460205078125,
-0.0199737548... |
fredymad/bert_Pfinal_2e-5_16_10 | 2023-06-02T11:41:58.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/bert_Pfinal_2e-5_16_10 | 0 | 2 | transformers | 2023-05-30T12:42:33 | ---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert_Pfinal_2e-5_16_10
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert_Pfinal_2e-5_1... | 1,866 | [
[
-0.042938232421875,
-0.041656494140625,
0.009857177734375,
0.01247406005859375,
-0.0195159912109375,
-0.0309906005859375,
-0.00734710693359375,
-0.01541900634765625,
0.0167236328125,
0.020111083984375,
-0.05615234375,
-0.039703369140625,
-0.045684814453125,
... |
CarnivoraCanis/berturk-cased-tr-fakenews | 2023-06-05T11:06:03.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"Fake News",
"tr",
"endpoints_compatible",
"region:us"
] | text-classification | CarnivoraCanis | null | null | CarnivoraCanis/berturk-cased-tr-fakenews | 0 | 2 | transformers | 2023-05-30T13:28:07 | ---
language:
- tr
metrics:
- accuracy
- f1
pipeline_tag: text-classification
tags:
- Fake News
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/hugging... | 1,137 | [
[
-0.040557861328125,
-0.05999755859375,
0.0171356201171875,
0.0128936767578125,
-0.046112060546875,
-0.0238494873046875,
0.01381683349609375,
-0.0271759033203125,
0.037628173828125,
0.033477783203125,
-0.0394287109375,
-0.06231689453125,
-0.041595458984375,
-... |
YakovElm/Apache5Classic_Balance_DATA_ratio_Half | 2023-05-30T15:14:14.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Apache5Classic_Balance_DATA_ratio_Half | 0 | 2 | transformers | 2023-05-30T13:55:52 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Apache5Classic_Balance_DATA_ratio_Half
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. --... | 1,820 | [
[
-0.045867919921875,
-0.04486083984375,
0.01064300537109375,
0.01218414306640625,
-0.03302001953125,
-0.0301666259765625,
-0.007198333740234375,
-0.0257568359375,
0.01447296142578125,
0.011322021484375,
-0.057586669921875,
-0.04119873046875,
-0.050048828125,
... |
YakovElm/Hyperledger5Classic_Balance_DATA_ratio_Half | 2023-05-30T17:25:41.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Hyperledger5Classic_Balance_DATA_ratio_Half | 0 | 2 | transformers | 2023-05-30T14:05:02 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Hyperledger5Classic_Balance_DATA_ratio_Half
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 commen... | 1,830 | [
[
-0.0472412109375,
-0.039825439453125,
0.01319122314453125,
0.0072174072265625,
-0.029022216796875,
-0.0275421142578125,
-0.008819580078125,
-0.0245361328125,
0.01654052734375,
0.01331329345703125,
-0.056549072265625,
-0.04351806640625,
-0.05023193359375,
-0.... |
YakovElm/IntelDAOS5Classic_Balance_DATA_ratio_Half | 2023-05-30T22:37:52.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/IntelDAOS5Classic_Balance_DATA_ratio_Half | 0 | 2 | transformers | 2023-05-30T14:09:08 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: IntelDAOS5Classic_Balance_DATA_ratio_Half
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.... | 1,826 | [
[
-0.043975830078125,
-0.036590576171875,
0.01329803466796875,
0.0023288726806640625,
-0.030914306640625,
-0.0249481201171875,
-0.009521484375,
-0.0269775390625,
0.0189208984375,
0.007061004638671875,
-0.057220458984375,
-0.0438232421875,
-0.049774169921875,
-... |
fredymad/roberta_Pfinal_2e-5_16_2 | 2023-06-02T15:47:25.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/roberta_Pfinal_2e-5_16_2 | 0 | 2 | transformers | 2023-05-30T14:15:32 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: roberta_Pfinal_2e-5_16_2
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. -->... | 1,409 | [
[
-0.02874755859375,
-0.04840087890625,
0.01392364501953125,
0.01210784912109375,
-0.0276947021484375,
-0.04205322265625,
-0.0147247314453125,
-0.0156402587890625,
0.0030994415283203125,
0.0253753662109375,
-0.055328369140625,
-0.04296875,
-0.046966552734375,
... |
YakovElm/Jira5Classic_Balance_DATA_ratio_Half | 2023-05-31T00:16:06.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Jira5Classic_Balance_DATA_ratio_Half | 0 | 2 | transformers | 2023-05-30T14:16:11 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Jira5Classic_Balance_DATA_ratio_Half
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. -->
... | 1,816 | [
[
-0.0362548828125,
-0.038482666015625,
0.01129913330078125,
0.0032958984375,
-0.03253173828125,
-0.0203857421875,
-0.007068634033203125,
-0.0239715576171875,
0.0227813720703125,
0.01007843017578125,
-0.05389404296875,
-0.043304443359375,
-0.0489501953125,
-0.... |
YakovElm/MariaDB5Classic_Balance_DATA_ratio_Half | 2023-05-31T02:01:46.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/MariaDB5Classic_Balance_DATA_ratio_Half | 0 | 2 | transformers | 2023-05-30T14:19:50 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: MariaDB5Classic_Balance_DATA_ratio_Half
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. -... | 1,822 | [
[
-0.041778564453125,
-0.04156494140625,
0.01285552978515625,
0.004669189453125,
-0.03143310546875,
-0.02789306640625,
-0.00415802001953125,
-0.02337646484375,
0.02178955078125,
0.0142974853515625,
-0.06158447265625,
-0.04644775390625,
-0.04534912109375,
-0.02... |
YakovElm/Qt5Classic_Balance_DATA_ratio_Half | 2023-05-31T03:49:42.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Qt5Classic_Balance_DATA_ratio_Half | 0 | 2 | transformers | 2023-05-30T14:27:31 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Qt5Classic_Balance_DATA_ratio_Half
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. -->
#... | 1,812 | [
[
-0.038238525390625,
-0.03045654296875,
0.016082763671875,
0.005298614501953125,
-0.033538818359375,
-0.0212249755859375,
-0.00005054473876953125,
-0.0184173583984375,
0.0084381103515625,
0.0098724365234375,
-0.0552978515625,
-0.04486083984375,
-0.045623779296875... |
rayjyate/bert-emotion | 2023-05-30T14:33:36.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | rayjyate | null | null | rayjyate/bert-emotion | 0 | 2 | transformers | 2023-05-30T14:27:51 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- precision
- recall
model-index:
- name: bert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
config: emotion
split:... | 1,970 | [
[
-0.03363037109375,
-0.045196533203125,
0.018218994140625,
0.022857666015625,
-0.028564453125,
-0.0169525146484375,
-0.01788330078125,
-0.0093231201171875,
0.01593017578125,
-0.000675201416015625,
-0.059661865234375,
-0.053375244140625,
-0.0584716796875,
-0.0... |
YakovElm/Hyperledger20Classic_512 | 2023-05-30T14:31:34.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Hyperledger20Classic_512 | 0 | 2 | transformers | 2023-05-30T14:30:55 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Hyperledger20Classic_512
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. -->
# Hyperledg... | 1,792 | [
[
-0.048431396484375,
-0.0418701171875,
0.0222625732421875,
0.0036525726318359375,
-0.0288848876953125,
-0.0266571044921875,
-0.0173187255859375,
-0.025970458984375,
0.01296234130859375,
0.0150299072265625,
-0.055084228515625,
-0.049224853515625,
-0.052978515625,
... |
fredymad/robertuito_Pfinal | 2023-06-02T12:18:55.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/robertuito_Pfinal | 0 | 2 | transformers | 2023-05-30T14:32:10 | ---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: robertuito_Pfinal
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. -->
# robertuito_Pfinal
This... | 1,389 | [
[
-0.029632568359375,
-0.034393310546875,
0.014312744140625,
0.016815185546875,
-0.0316162109375,
-0.0290069580078125,
-0.0191802978515625,
-0.0085906982421875,
0.0135345458984375,
0.037628173828125,
-0.055023193359375,
-0.050537109375,
-0.04669189453125,
-0.0... |
kfkas/t5-large-korean-P2G | 2023-06-03T11:55:24.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_keras_callback",
"ko",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | kfkas | null | null | kfkas/t5-large-korean-P2G | 5 | 2 | transformers | 2023-05-30T14:38:58 | ---
language:
- ko
tags:
- generated_from_keras_callback
model-index:
- name: t5-large-korean-P2G
results: []
---
# t5-large-korean-P2G
이 모델은 lcw99 / t5-large-korean-text-summary을 국립 국어원 신문 말뭉치 50만개의 문장을 2021을 g2pK로 훈련시켜 G2P된 데이터를 원본으로 돌립니다.<br>
git : https://github.com/taemin6697<br>
## Usage
```python
from tr... | 1,166 | [
[
-0.0200653076171875,
-0.0347900390625,
0.0157318115234375,
0.0433349609375,
-0.047698974609375,
-0.00238037109375,
-0.01329803466796875,
-0.011505126953125,
0.00870513916015625,
0.0135498046875,
-0.0270538330078125,
-0.043548583984375,
-0.07012939453125,
0.0... |
HEN10/layoutlmv2_Kb_qa04 | 2023-05-30T14:56:20.000Z | [
"transformers",
"pytorch",
"tensorboard",
"layoutlmv2",
"document-question-answering",
"generated_from_trainer",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | document-question-answering | HEN10 | null | null | HEN10/layoutlmv2_Kb_qa04 | 0 | 2 | transformers | 2023-05-30T14:45:40 | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: layoutlmv2_Kb_qa04
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. -->
# layoutlmv2_... | 1,597 | [
[
-0.0220947265625,
-0.0293426513671875,
0.00971221923828125,
0.0188140869140625,
-0.0244598388671875,
-0.029541015625,
0.0034732818603515625,
-0.00429534912109375,
-0.0017423629760742188,
0.0284576416015625,
-0.05352783203125,
-0.04571533203125,
-0.03591918945312... |
fredymad/distilbert_Pfinal_4CLASES_2e-5_16_2 | 2023-06-02T10:35:41.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/distilbert_Pfinal_4CLASES_2e-5_16_2 | 0 | 2 | transformers | 2023-05-30T15:12:56 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert_Pfinal_4CLASES_2e-5_16_2
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. -->
#... | 1,453 | [
[
-0.027801513671875,
-0.04638671875,
0.0137176513671875,
0.0254364013671875,
-0.028411865234375,
-0.017852783203125,
-0.01178741455078125,
-0.0091094970703125,
0.000988006591796875,
0.011871337890625,
-0.048004150390625,
-0.04986572265625,
-0.05401611328125,
... |
lynxvail/bert-emotion | 2023-05-30T15:30:44.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | lynxvail | null | null | lynxvail/bert-emotion | 0 | 2 | transformers | 2023-05-30T15:22:59 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- precision
- recall
model-index:
- name: bert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
config: emotion
split:... | 1,970 | [
[
-0.03363037109375,
-0.045196533203125,
0.018218994140625,
0.022857666015625,
-0.028564453125,
-0.0169525146484375,
-0.01788330078125,
-0.0093231201171875,
0.01593017578125,
-0.000675201416015625,
-0.059661865234375,
-0.053375244140625,
-0.0584716796875,
-0.0... |
gapvandyaisummer/bert-emotion | 2023-05-30T15:41:09.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gapvandyaisummer | null | null | gapvandyaisummer/bert-emotion | 0 | 2 | transformers | 2023-05-30T15:23:58 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- precision
- recall
model-index:
- name: bert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
config: emotion
split:... | 1,970 | [
[
-0.03363037109375,
-0.045196533203125,
0.018218994140625,
0.022857666015625,
-0.028564453125,
-0.0169525146484375,
-0.01788330078125,
-0.0093231201171875,
0.01593017578125,
-0.000675201416015625,
-0.059661865234375,
-0.053375244140625,
-0.0584716796875,
-0.0... |
jsilver/bert-emotion | 2023-05-30T15:33:48.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | jsilver | null | null | jsilver/bert-emotion | 0 | 2 | transformers | 2023-05-30T15:27:23 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- precision
- recall
model-index:
- name: bert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
config: emotion
split:... | 1,970 | [
[
-0.03363037109375,
-0.045196533203125,
0.018218994140625,
0.022857666015625,
-0.028564453125,
-0.0169525146484375,
-0.01788330078125,
-0.0093231201171875,
0.01593017578125,
-0.000675201416015625,
-0.059661865234375,
-0.053375244140625,
-0.0584716796875,
-0.0... |
YakovElm/Apache5Classic_Balance_DATA_ratio_1 | 2023-05-30T15:29:10.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Apache5Classic_Balance_DATA_ratio_1 | 0 | 2 | transformers | 2023-05-30T15:28:06 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Apache5Classic_Balance_DATA_ratio_1
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. -->
... | 1,814 | [
[
-0.04644775390625,
-0.04461669921875,
0.0118255615234375,
0.0126495361328125,
-0.03167724609375,
-0.03265380859375,
-0.009857177734375,
-0.0251312255859375,
0.014068603515625,
0.0130462646484375,
-0.055633544921875,
-0.040069580078125,
-0.0498046875,
-0.0215... |
FelixHonikker/bert-emotion | 2023-05-30T15:34:36.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | FelixHonikker | null | null | FelixHonikker/bert-emotion | 0 | 2 | transformers | 2023-05-30T15:29:08 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- precision
- recall
model-index:
- name: bert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
config: emotion
split:... | 1,970 | [
[
-0.03363037109375,
-0.045196533203125,
0.0182037353515625,
0.0228729248046875,
-0.0285797119140625,
-0.01690673828125,
-0.01788330078125,
-0.0093231201171875,
0.0159454345703125,
-0.0006780624389648438,
-0.059661865234375,
-0.053375244140625,
-0.0584716796875,
... |
YuruiGao/bert-emotion | 2023-05-30T15:36:04.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YuruiGao | null | null | YuruiGao/bert-emotion | 0 | 2 | transformers | 2023-05-30T15:30:01 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
model-index:
- name: bert-emotion
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. -->
#... | 1,030 | [
[
-0.03509521484375,
-0.055328369140625,
0.0193939208984375,
0.0300750732421875,
-0.037933349609375,
-0.013336181640625,
-0.0200347900390625,
-0.012542724609375,
0.019683837890625,
-0.006031036376953125,
-0.061767578125,
-0.043212890625,
-0.053985595703125,
-0... |
paku90/bert-emotion | 2023-05-30T15:48:07.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | paku90 | null | null | paku90/bert-emotion | 0 | 2 | transformers | 2023-05-30T15:32:59 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- precision
- recall
model-index:
- name: bert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
config: emotion
split:... | 1,970 | [
[
-0.03363037109375,
-0.045196533203125,
0.018218994140625,
0.022857666015625,
-0.028564453125,
-0.0169525146484375,
-0.01788330078125,
-0.0093231201171875,
0.01593017578125,
-0.000675201416015625,
-0.059661865234375,
-0.053375244140625,
-0.0584716796875,
-0.0... |
jonglet/mobile_vit | 2023-05-30T17:21:27.000Z | [
"transformers",
"pytorch",
"tensorboard",
"mobilevit",
"image-classification",
"generated_from_trainer",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | jonglet | null | null | jonglet/mobile_vit | 0 | 2 | transformers | 2023-05-30T15:37:09 | ---
license: other
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobile_vit
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. -->
# mobile_vi... | 1,413 | [
[
-0.031951904296875,
-0.037841796875,
0.01180267333984375,
0.006923675537109375,
-0.033294677734375,
-0.029937744140625,
-0.004184722900390625,
-0.00994110107421875,
0.021728515625,
0.01885986328125,
-0.051849365234375,
-0.040863037109375,
-0.037445068359375,
... |
YakovElm/Qt20Classic_512 | 2023-05-30T15:38:16.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Qt20Classic_512 | 0 | 2 | transformers | 2023-05-30T15:37:34 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Qt20Classic_512
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. -->
# Qt20Classic_512
T... | 1,774 | [
[
-0.039947509765625,
-0.03521728515625,
0.0227813720703125,
0.004642486572265625,
-0.036865234375,
-0.02325439453125,
-0.01016998291015625,
-0.0210723876953125,
0.008148193359375,
0.01149749755859375,
-0.05474853515625,
-0.047698974609375,
-0.048370361328125,
... |
platzi/platzi-distilroberta-base-mrpc-glue-andres_arboleda | 2023-05-30T15:51:56.000Z | [
"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-andres_arboleda | 0 | 2 | transformers | 2023-05-30T15:43:48 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: platzi-distilroberta-base-mrpc-glue-andres_arboleda
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: mrpc... | 1,854 | [
[
-0.02984619140625,
-0.0445556640625,
0.01023101806640625,
0.0221405029296875,
-0.0298614501953125,
-0.025390625,
-0.01042938232421875,
-0.004154205322265625,
0.01067352294921875,
0.00843048095703125,
-0.0496826171875,
-0.04473876953125,
-0.057647705078125,
-... |
YakovElm/Apache5Classic_Balance_DATA_ratio_2 | 2023-05-30T15:50:35.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Apache5Classic_Balance_DATA_ratio_2 | 0 | 2 | transformers | 2023-05-30T15:49:55 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Apache5Classic_Balance_DATA_ratio_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 comment. -->
... | 1,814 | [
[
-0.04400634765625,
-0.044158935546875,
0.01172637939453125,
0.01274871826171875,
-0.032470703125,
-0.031982421875,
-0.00982666015625,
-0.0267791748046875,
0.01153564453125,
0.01239013671875,
-0.054290771484375,
-0.0377197265625,
-0.05023193359375,
-0.0227661... |
tcgyver/bert-emotion | 2023-05-30T16:17:22.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | tcgyver | null | null | tcgyver/bert-emotion | 0 | 2 | transformers | 2023-05-30T16:11:48 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- precision
- recall
model-index:
- name: bert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
config: emotion
split:... | 1,970 | [
[
-0.03363037109375,
-0.045257568359375,
0.018218994140625,
0.0228729248046875,
-0.028564453125,
-0.01690673828125,
-0.01788330078125,
-0.0093231201171875,
0.01593017578125,
-0.0006737709045410156,
-0.059661865234375,
-0.053375244140625,
-0.058502197265625,
-0... |
YakovElm/Apache5Classic_Balance_DATA_ratio_3 | 2023-05-30T16:18:35.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Apache5Classic_Balance_DATA_ratio_3 | 0 | 2 | transformers | 2023-05-30T16:17:54 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Apache5Classic_Balance_DATA_ratio_3
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. -->
... | 1,814 | [
[
-0.0450439453125,
-0.044708251953125,
0.0140838623046875,
0.01277923583984375,
-0.0323486328125,
-0.033172607421875,
-0.01007080078125,
-0.027099609375,
0.01178741455078125,
0.0136871337890625,
-0.053497314453125,
-0.040863037109375,
-0.049072265625,
-0.0203... |
YakovElm/Apache5Classic_Balance_DATA_ratio_4 | 2023-05-30T16:54:26.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Apache5Classic_Balance_DATA_ratio_4 | 0 | 2 | transformers | 2023-05-30T16:53:22 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Apache5Classic_Balance_DATA_ratio_4
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. -->
... | 1,814 | [
[
-0.045440673828125,
-0.04345703125,
0.0144500732421875,
0.01238250732421875,
-0.031494140625,
-0.031524658203125,
-0.0100860595703125,
-0.0266571044921875,
0.01296234130859375,
0.01387786865234375,
-0.05450439453125,
-0.04107666015625,
-0.04840087890625,
-0.... |
YakovElm/Apache10Classic_Balance_DATA_ratio_Half | 2023-05-31T14:29:57.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Apache10Classic_Balance_DATA_ratio_Half | 0 | 2 | transformers | 2023-05-30T17:03:19 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Apache10Classic_Balance_DATA_ratio_Half
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. -... | 1,822 | [
[
-0.04541015625,
-0.048248291015625,
0.01026153564453125,
0.012969970703125,
-0.0318603515625,
-0.031219482421875,
-0.00914764404296875,
-0.0245819091796875,
0.0182342529296875,
0.01247406005859375,
-0.0557861328125,
-0.038055419921875,
-0.05078125,
-0.023559... |
YakovElm/Apache10Classic_Balance_DATA_ratio_1 | 2023-05-31T14:45:02.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Apache10Classic_Balance_DATA_ratio_1 | 0 | 2 | transformers | 2023-05-30T17:14:25 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Apache10Classic_Balance_DATA_ratio_1
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. -->
... | 1,816 | [
[
-0.04608154296875,
-0.047760009765625,
0.01161956787109375,
0.0132293701171875,
-0.0308990478515625,
-0.033416748046875,
-0.01175689697265625,
-0.024261474609375,
0.0168609619140625,
0.01345062255859375,
-0.0545654296875,
-0.037506103515625,
-0.050537109375,
... |
YakovElm/Hyperledger5Classic_Balance_DATA_ratio_1 | 2023-05-30T17:38:56.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Hyperledger5Classic_Balance_DATA_ratio_1 | 0 | 2 | transformers | 2023-05-30T17:38:20 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Hyperledger5Classic_Balance_DATA_ratio_1
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. ... | 1,824 | [
[
-0.04803466796875,
-0.03857421875,
0.01434326171875,
0.0081024169921875,
-0.0276947021484375,
-0.0296783447265625,
-0.009857177734375,
-0.0239105224609375,
0.015655517578125,
0.0144500732421875,
-0.05535888671875,
-0.043121337890625,
-0.04949951171875,
-0.01... |
YakovElm/Hyperledger5Classic_Balance_DATA_ratio_2 | 2023-05-30T17:58:09.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Hyperledger5Classic_Balance_DATA_ratio_2 | 0 | 2 | transformers | 2023-05-30T17:57:17 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Hyperledger5Classic_Balance_DATA_ratio_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 comment. ... | 1,824 | [
[
-0.046234130859375,
-0.0382080078125,
0.014862060546875,
0.0075836181640625,
-0.02886962890625,
-0.028778076171875,
-0.0098876953125,
-0.024810791015625,
0.01386260986328125,
0.013427734375,
-0.05438232421875,
-0.041595458984375,
-0.050323486328125,
-0.01994... |
YakovElm/Hyperledger5Classic_Balance_DATA_ratio_3 | 2023-05-30T18:22:55.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Hyperledger5Classic_Balance_DATA_ratio_3 | 0 | 2 | transformers | 2023-05-30T18:22:19 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Hyperledger5Classic_Balance_DATA_ratio_3
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. ... | 1,824 | [
[
-0.04705810546875,
-0.039337158203125,
0.016265869140625,
0.00799560546875,
-0.029052734375,
-0.0304107666015625,
-0.01023101806640625,
-0.0255584716796875,
0.01377105712890625,
0.01515960693359375,
-0.053375244140625,
-0.0439453125,
-0.049896240234375,
-0.0... |
alozanorius/bert-fine-tuned-cola | 2023-05-30T19:49:40.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | alozanorius | null | null | alozanorius/bert-fine-tuned-cola | 0 | 2 | transformers | 2023-05-30T18:40:48 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: bert-fine-tuned-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 comment. -->
# bert-fine-tun... | 1,333 | [
[
-0.037750244140625,
-0.059478759765625,
0.01430511474609375,
0.01299285888671875,
-0.032135009765625,
-0.021209716796875,
-0.0174560546875,
-0.0207061767578125,
0.0139007568359375,
0.00970458984375,
-0.05560302734375,
-0.034423828125,
-0.05169677734375,
-0.0... |
YakovElm/Hyperledger5Classic_Balance_DATA_ratio_4 | 2023-05-30T18:54:03.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Hyperledger5Classic_Balance_DATA_ratio_4 | 0 | 2 | transformers | 2023-05-30T18:53:00 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Hyperledger5Classic_Balance_DATA_ratio_4
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. ... | 1,824 | [
[
-0.047088623046875,
-0.038055419921875,
0.016632080078125,
0.007904052734375,
-0.0283660888671875,
-0.0288543701171875,
-0.01110076904296875,
-0.0248870849609375,
0.01378631591796875,
0.0142364501953125,
-0.05389404296875,
-0.044342041015625,
-0.04937744140625,
... |
YakovElm/Hyperledger10Classic_Balance_DATA_ratio_Half | 2023-05-30T19:03:15.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Hyperledger10Classic_Balance_DATA_ratio_Half | 0 | 2 | transformers | 2023-05-30T19:02:40 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Hyperledger10Classic_Balance_DATA_ratio_Half
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 comme... | 1,832 | [
[
-0.046478271484375,
-0.04241943359375,
0.013427734375,
0.008087158203125,
-0.02764892578125,
-0.02880859375,
-0.01082611083984375,
-0.021942138671875,
0.0218048095703125,
0.013275146484375,
-0.05450439453125,
-0.038604736328125,
-0.050994873046875,
-0.022399... |
YakovElm/Hyperledger10Classic_Balance_DATA_ratio_1 | 2023-05-30T19:13:55.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | YakovElm | null | null | YakovElm/Hyperledger10Classic_Balance_DATA_ratio_1 | 0 | 2 | transformers | 2023-05-30T19:13:19 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Hyperledger10Classic_Balance_DATA_ratio_1
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.... | 1,826 | [
[
-0.04693603515625,
-0.042388916015625,
0.0140380859375,
0.00836944580078125,
-0.026397705078125,
-0.030517578125,
-0.0124664306640625,
-0.02142333984375,
0.020721435546875,
0.0147705078125,
-0.053314208984375,
-0.03790283203125,
-0.050323486328125,
-0.021286... |
t12e/instructor-base | 2023-05-30T21:53:29.000Z | [
"sentence-transformers",
"pytorch",
"t5",
"text-embedding",
"embeddings",
"information-retrieval",
"beir",
"text-classification",
"language-model",
"text-clustering",
"text-semantic-similarity",
"text-evaluation",
"prompt-retrieval",
"text-reranking",
"feature-extraction",
"sentence-si... | sentence-similarity | t12e | null | null | t12e/instructor-base | 0 | 2 | sentence-transformers | 2023-05-30T19:22:17 | ---
pipeline_tag: sentence-similarity
tags:
- text-embedding
- embeddings
- information-retrieval
- beir
- text-classification
- language-model
- text-clustering
- text-semantic-similarity
- text-evaluation
- prompt-retrieval
- text-reranking
- sentence-transformers
- feature-extraction
- sentence-similarity
- transfor... | 66,209 | [
[
-0.01410675048828125,
-0.07806396484375,
0.035125732421875,
0.0013952255249023438,
-0.001987457275390625,
-0.014556884765625,
-0.01776123046875,
-0.007350921630859375,
0.0192413330078125,
0.0206146240234375,
-0.01806640625,
-0.061309814453125,
-0.034759521484375... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.