modelId stringlengths 4 81 | tags list | pipeline_tag stringclasses 17
values | config dict | downloads int64 0 59.7M | first_commit timestamp[ns, tz=UTC] | card stringlengths 51 438k | embedding list |
|---|---|---|---|---|---|---|---|
CALM/backup | [
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"len... | 4 | null | Moved here: https://huggingface.co/google/bigbird-pegasus-large-pubmed | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca-ner | [
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"no_repeat... | 85 | null | Moved here: https://huggingface.co/google/bigbird-roberta-base | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca-poetry | [
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"no_rep... | 42 | null | Moved here: https://huggingface.co/google/bigbird-roberta-large | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-egy | [
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"no_repeat... | 16,451 | null | ---
language: en
license: apache-2.0
datasets: natural_questions
widget:
- text: "Who added BigBird to HuggingFace Transformers?"
context: "BigBird Pegasus just landed! Thanks to Vasudev Gupta, BigBird Pegasus from Google AI is merged into HuggingFace Transformers. Check it out today!!!"
---
This checkpoint is obtai... | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-msa | [
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"no_repeat... | 71 | null | DL research papers **Title -> abstract**
**Using this model**
```python
from transformers import pipeline, GPT2LMHeadModel, GPT2Tokenizer
tokenizer = GPT2Tokenizer.from_pretrained("vasudevgupta/dl-hack-distilgpt2")
model = GPT2LMHeadModel.from_pretrained("vasudevgupta/dl-hack-distilgpt2")
agent = pipeline("text-gene... | [
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0.061... |
CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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],
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},
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"no_rep... | 73 | null | DL research papers **Title -> abstract**
**Using this model**
```python
from transformers import pipeline, GPT2LMHeadModel, GPT2Tokenizer
tokenizer = GPT2Tokenizer.from_pretrained("vasudevgupta/dl-hack-gpt2-large")
model = GPT2LMHeadModel.from_pretrained("vasudevgupta/dl-hack-gpt2-large")
agent = pipeline("text-gene... | [
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... |
CAMeL-Lab/bert-base-arabic-camelbert-ca | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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],
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"no_repeat_ngram_size... | 580 | null | Deep Learning research papers **Title -> abstract** | [
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... |
CAMeL-Lab/bert-base-arabic-camelbert-da-ner | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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"no_repeat... | 42 | null | # finetuned-wav2vec2-960h
This model was trained as a part of my **GSoC'21 (Google Summer of Code)** project. It is fine-tuned on 960h of **LibriSpeech dataset** (`train-clean-100`, `train-clean-360`, `train-other-500`) and evaluated on `test-clean` data.
| WER (word error rate) | 5.67 |
|-----------------------|----... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-poetry | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
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],
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"no_rep... | 37 | null | ---
language: en
license: apache-2.0
datasets: natural_questions
widget:
- text: "Who added BigBird to HuggingFace Transformers?"
context: "BigBird Pegasus just landed! Thanks to Vasudev Gupta, BigBird Pegasus from Google AI is merged into HuggingFace Transformers. Check it out today!!!"
---
This checkpoint is obtai... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-pos-egy | [
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"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
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] | token-classification | {
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"no_repeat... | 32 | null | TensorFlow version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h). Obtained using script from https://github.com/vasudevgupta7/gsoc-wav2vec2. | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-pos-glf | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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],
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"no_repeat... | 54 | null | TensorFlow equivalent of [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-pos-msa | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
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"no_repeat... | 27 | null | TensorFlow equivalent of [`facebook/wav2vec2-large-xlsr-53`](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) | [
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0.02... |
CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"has_space"
] | text-classification | {
"architectures": [
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],
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"no_rep... | 19,850 | null | Wav2Vec2 Model (initialized from [`facebook/wav2vec2-base`](https://huggingface.co/facebook/wav2vec2-base)) with **no** LM head.
Model weights are converted into TensorFlow using following script:
```shell
python3 convert_torch_to_tf.py --hf_model_id "facebook/wav2vec2-base"
```
**TF SavedModel** is obtained by runn... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da | [
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"jax",
"bert",
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"transformers",
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] | fill-mask | {
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"no_repeat_ngram_size... | 449 | null | ---
datasets: pib
widget:
- text: "હેય! હું વાસુદેવ ગુપ્તા છું"
---
mBART (a pre-trained model by Facebook) is pre-trained to de-noise multiple languages simultaneously with BART objective.
Checkpoint available in this repository is obtained after fine-tuning `facebook/mbart-large-cc25` on all samples (~60K) from Bh... | [
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0.0... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus26 | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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],
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},
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"no_rep... | 45 | null | ---
datasets: pib
widget:
- text: "नमस्ते! मैं वासुदेव गुप्ता हूं"
---
mBART (a pre-trained model by Facebook) is pre-trained to de-noise multiple languages simultaneously with BART objective.
Checkpoint available in this repository is obtained after fine-tuning `facebook/mbart-large-cc25` on all samples (~260K) fro... | [
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0... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus6 | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"no_rep... | 34 | null | ---
datasets: pib
widget:
- text: "नमस्ते! मैं वासुदेव गुप्ता हूं"
---
mBART (a pre-trained model by Facebook) is pre-trained to de-noise multiple languages simultaneously with BART objective.
Checkpoint available in this repository is obtained after fine-tuning `facebook/mbart-large-cc25` on 0.5 M samples from IIT-... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-did-nadi | [
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"tf",
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"no_rep... | 63 | null | This model is trained as a part of **InterIIT'21 competition**, on the dataset provided by Bridgei2i. It is able to do multilingual (Hindi, English, Hinglish) summarization (many -> one) & is capable of generating summaries in English regardless of the input language.
| Rouge-L | Sacrebleu | Headline Sim... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-ner | [
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"no_repeat... | 1,860 | null | **Project GitHub:** https://github.com/vasudevgupta7/transformers-adapters
**Notes**
* base model can be downloaded from `facebook/mbart-large-cc25`
* `adapters-hin-eng.pt`: adapters hin-eng
* `adapters-guj-eng.pt`: adapters guj-eng
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"no_rep... | 31 | null | TensorFlow version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base). Obtained using script from https://github.com/vasudevgupta7/gsoc-wav2vec2. | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy | [
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"no_repeat... | 62 | null | ---
language: en
datasets:
- vblagoje/lfqa
- vblagoje/lfqa_support_docs
license: mit
---
## Introduction
See [blog post](https://towardsdatascience.com/long-form-qa-beyond-eli5-an-updated-dataset-and-approach-319cb841aabb) for more details.
## Usage
```python
import torch
from transformers import AutoTokenizer, Auto... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment | [
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"transformers",
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"no_rep... | 855 | null | ---
language: en
datasets:
- vblagoje/lfqa
license: mit
---
## Introduction
The context/passage encoder model based on [DPRContextEncoder](https://huggingface.co/docs/transformers/master/en/model_doc/dpr#transformers.DPRContextEncoder) architecture. It uses the transformer's pooler outputs as context/passage represent... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix | [
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"Levantine",
"Classical Arabic",
"MSA",
"Modern Standard Arabic",
"license:apache-2.0",
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"no_repeat_ngram_size... | 20,880 | null | ---
language: en
datasets:
- vblagoje/lfqa
license: mit
---
## Introduction
The context/passage encoder model based on [DPRContextEncoder](https://huggingface.co/docs/transformers/master/en/model_doc/dpr#transformers.DPRContextEncoder) architecture. It uses the transformer's pooler outputs as context/passage represent... | [
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0.0... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-did-madar-twitter5 | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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"no_rep... | 75 | null | ---
language: en
datasets:
- vblagoje/lfqa
license: mit
---
## Introduction
The question encoder model based on [DPRQuestionEncoder](https://huggingface.co/docs/transformers/master/en/model_doc/dpr#transformers.DPRQuestionEncoder) architecture. It uses the transformer's pooler outputs as question representations.
##... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-did-nadi | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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"no_rep... | 71 | null | ---
language: en
datasets:
- vblagoje/lfqa
license: mit
---
## Introduction
The question encoder model based on [DPRQuestionEncoder](https://huggingface.co/docs/transformers/master/en/model_doc/dpr#transformers.DPRQuestionEncoder) architecture. It uses the transformer's pooler outputs as question representations. See ... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-msa | [
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"tf",
"bert",
"token-classification",
"ar",
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"transformers",
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"autotrain_compatible"
] | token-classification | {
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"no_repeat... | 133 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-colab
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. -->
# wav2... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth | [
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"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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},
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"no_repeat_ngram_size... | 26 | null | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: hugging-doge
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9375
---
# hugging-doge
Autogenerated by H... | [
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CAUKiel/JavaBERT-uncased | [
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"safetensors",
"bert",
"fill-mask",
"java",
"code",
"transformers",
"license:apache-2.0",
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"no_repeat_ngram_size... | 7 | null | ---
language: en
tags:
- grammar
- text2text-generation
license: cc-by-nc-sa-4.0
datasets:
- jfleg
---
# T5 Grammar Correction
This model generates a revised version of inputted text with the goal of containing fewer grammatical errors.
It was trained with [Happy Transformer](https://github.com/EricFillion/happy-tr... | [
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CLAck/indo-pure | [
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"text2text-generation",
"en",
"id",
"dataset:ALT",
"transformers",
"translation",
"license:apache-2.0",
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] | translation | {
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"no_repeat_ngram_size... | 4 | null | ### Twitter RoBERTa BR
This is a RoBERTa Twitter in Portuguese model trained on ~7M tweets.
The results will be posted in the future.
### Example of using
```
tokenizer = AutoTokenizer.from_pretrained("verissimomanoel/RobertaTwitterBR")
model = AutoModel.from_pretrained("verissimomanoel/RobertaTwitterBR")
```
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CLTL/icf-domains | [
"pytorch",
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] | text-classification | {
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"min_length": nul... | 35 | null | # QA-for-Event-Extraction
## Model description
This is a QA model as part of the event extraction system in the ACL2021 paper: [Zero-shot Event Extraction via Transfer Learning: Challenges and Insights](https://aclanthology.org/2021.acl-short.42/). The pretrained architecture is [roberta-large](https://huggingface.co... | [
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CLTL/icf-levels-adm | [
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"nl",
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] | text-classification | {
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"... | 33 | null | # TE-for-Event-Extraction
## Model description
This is a TE model as part of the event extraction system in the ACL2021 paper: [Zero-shot Event Extraction via Transfer Learning: Challenges and Insights](https://aclanthology.org/2021.acl-short.42/). The pretrained architecture is [roberta-large](https://huggingface.co... | [
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CLTL/icf-levels-att | [
"pytorch",
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"text-classification",
"nl",
"transformers",
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] | text-classification | {
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"... | 32 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
datasets:
- versae/modernisa
model-index:
- name: byt5-base-finetuned-modernisa
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comple... | [
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CLTL/icf-levels-etn | [
"pytorch",
"roberta",
"text-classification",
"nl",
"transformers",
"license:mit"
] | text-classification | {
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],
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"... | 31 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
datasets:
- versae/modernisa
model-index:
- name: mt5-base-finetuned-modernisa
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... | [
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Caddy/UD | [] | null | {
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"num_beams... | 0 | null | # MS Marco Ranking with ColBERT on Vespa.ai
Model is based on [ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT](https://arxiv.org/abs/2004.12832).
This BERT model is based on [cross-encoder/ms-marco-MiniLM-L-6-v2](https://huggingface.co/cross-encoder/ms-marco-MiniLM-L-6-... | [
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Calamarii/calamari | [] | null | {
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"num_beams... | 0 | null | # MS Marco Ranking with ColBERT on Vespa.ai
Model is based on [ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT](https://arxiv.org/abs/2004.12832).
This BERT model is based on [google/bert_uncased_L-8_H-512_A-8](https://huggingface.co/google/bert_uncased_L-8_H-512_A-8) an... | [
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Callidior/bert2bert-base-arxiv-titlegen | [
"pytorch",
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"text2text-generation",
"en",
"dataset:arxiv_dataset",
"transformers",
"summarization",
"license:apache-2.0",
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"has_space"
] | summarization | {
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"max_length": null,
"min_length": null,
"no_re... | 145 | null | ----
language:
- is
thumbnail:
tags:
- icelandic
- qa
license:
datasets:
- ic3
- igc
metrics:
- em
- f1
widget:
- text: "Hvenær var Halldór Laxness í menntaskóla ?"
context: "Halldór Laxness ( Halldór Kiljan ) fæddist í Reykjavík 23. apríl árið 1902 og átti í fyrstu heima við Laugaveg en árið 1905 settist fjölskyld... | [
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CallumRai/HansardGPT2 | [
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"no_repeat_ngram_size... | 14 | null | ---
license: gpl-3.0
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: IceBERT-finetuned-iec-sentence-bs16
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | [
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CalvinHuang/mt5-small-finetuned-amazon-en-es | [
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"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | summarization | {
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],
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},
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"no_repeat... | 16 | null | ---
license: gpl-3.0
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: IceBERT-finetuned-iec-sentence
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 rem... | [
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Cameron/BERT-Jigsaw | [
"pytorch",
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"bert",
"text-classification",
"transformers"
] | text-classification | {
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],
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"no_rep... | 35 | null | ---
license: gpl-3.0
tags:
- generated_from_trainer
datasets:
- mim_gold_ner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: IceBERT-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: mim_gold_ner
type: mim_gold_ner
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Cameron/BERT-SBIC-offensive | [
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"transformers"
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"no_rep... | 31 | null | ---
license: gpl-3.0
tags:
- generated_from_trainer
datasets:
- mim_gold_ner
metrics:
- precision
- recall
- f1
- accuracy
widget:
- text: Systurnar Guðrún og Monique átu einar á McDonalds og horfðu á Stöð 2, þar glitti í Bruce Willis leika í Die Hard 2.
model-index:
- name: IceBERT-finetuned-ner
results:
- task:
... | [
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Cameron/BERT-SBIC-targetcategory | [
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"no_rep... | 30 | null | ---
language: is
widget:
- text: Má bjóða þér <mask> í kvöld?
- text: Forseti <mask> er ágæt.
- text: Súpan var <mask> á bragðið.
tags:
- roberta
- icelandic
- masked-lm
- pytorch
license: agpl-3.0
datasets:
- mideind/icelandic-common-crawl-corpus-IC3
---
# IceBERT
IceBERT was trained with fairseq using the RoBERTa-b... | [
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Cameron/BERT-eec-emotion | [
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"no_rep... | 36 | null | ---
language:
- is
- da
- sv
- 'no'
- fo
widget:
- text: Fina lilla<mask>, jag vill inte bliva stur.
- text: Nu ved jeg, at du frygter<mask> og end ikke vil nægte mig din eneste søn..
- text: Það er vorhret á<mask>, napur vindur sem hvín.
- text: Ja, Gud signi<mask>, mítt land.
- text: Alle dyrene i<mask> må være venne... | [
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Cameron/BERT-jigsaw-identityhate | [
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"no_rep... | 37 | null | ---
language:
- en
- is
- multilingual
license: agpl-3.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: XLMR-ENIS-finetuned-cola
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: glue
type: glue
... | [
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Cameron/BERT-jigsaw-severetoxic | [
"pytorch",
"jax",
"bert",
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"transformers"
] | text-classification | {
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"no_rep... | 30 | null | ---
language:
- en
- is
- multilingual
license: agpl-3.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: XLMR-ENIS-finetuned-ner
results:
- task:
type: token-classification
name: Token Classification
dataset:
name: conll20... | [
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Cameron/BERT-mdgender-convai-ternary | [
"pytorch",
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"no_rep... | 38 | null | ---
license: agpl-3.0
pipeline_tag: sentence-similarity
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: XLMR-ENIS-finetuned-stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: stsb
... | [
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Camzure/MaamiBot-test | [
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 9 | null | ---
language:
- is
- en
- multilingual
tags:
- icelandic
- qa
datasets:
- ic3
- igc
metrics:
- em
- f1
widget:
- text: Hverrar tr�ar var Halld�r Laxness ?
context: 'Halld�r Kiljan Laxness was born in 1902 in Reykjavik , the capital of
Iceland , but spent his youth in the country . From the age of seventeen on ,
... | [
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Capreolus/birch-bert-large-car_mb | [
"pytorch",
"tf",
"jax",
"bert",
"next-sentence-prediction",
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] | null | {
"architectures": [
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"no_rep... | 4 | null | ---
license: agpl-3.0
language:
- is
---
# word2vec model trained on Icelandic
This model is trained on the lemmas of the Icelandic Gigaword Corpus version 20.05. It is trained using the gensim package, version 4.1.0. and parameters were set to default (100 dimensions, windows size 5)
This model can not be loaded di... | [
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Capreolus/electra-base-msmarco | [
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"electra",
"text-classification",
"arxiv:2008.09093",
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] | text-classification | {
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"... | 110 | null | ---
tags:
- conversational
---
# Jake Peralta DialoGPT Model | [
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dccuchile/albert-base-spanish-finetuned-mldoc | [
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"no... | 34 | 2021-08-30T11:58:16Z | ---
tags:
- conversational
---
# Gandalf DialoGPT model | [
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CennetOguz/distilbert-base-uncased-finetuned-recipe-1 | [
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"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
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] | fill-mask | {
"architectures": [
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"no_repea... | 7 | 2021-08-19T09:07:25Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- null
model_index:
- name: distilgpt2-finetuned-distilgpt2-med_articles
results:
- task:
name: Causal Language Modeling
type: text-generation
---
<!-- This model card has been generated automatically according to the information the Trai... | [
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CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate-1 | [
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"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repea... | 1 | null | ---
license: apache-2.0
tags:
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datasets:
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model_index:
- name: distilgpt2-finetuned-tamil-gpt
results:
- task:
name: Causal Language Modeling
type: text-generation
---
<!-- This model card has been generated automatically according to the information the Trainer had access... | [
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CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repea... | 7 | 2021-08-14T04:48:09Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- null
model_index:
- name: distilgpt2-finetuned-tamilmixsentiment
results:
- task:
name: Causal Language Modeling
type: text-generation
---
<!-- This model card has been generated automatically according to the information the Trainer ha... | [
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Chaima/TunBerto | [] | null | {
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"num_beams... | 0 | 2022-02-03T15:41:58Z | ---
language:
- km
license: apache-2.0
tags:
- automatic-speech-recognition
- openslr
- robust-speech-event
- km
- generated_from_trainer
- hf-asr-leaderboard
datasets:
- openslr
model-index:
- name: wav2vec2-xls-r-1b-km
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
da... | [
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chainyo/speaker-recognition-meetup | [] | null | {
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language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- en
- generated_from_trainer
- hf-asr-leaderboard
- librispeech_asr
- robust-speech-event
datasets:
- librispeech_asr
model-index:
- name: XLS-R-300M - English
results:
- task:
name: Automatic Speech Recognition
type: automatic... | [
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ChaitanyaU/FineTuneLM | [] | null | {
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"num_beams... | 0 | 2022-02-01T07:20:48Z | ---
language:
- ja
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- ja
- mozilla-foundation/common_voice_8_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R-300M - Japanese
results:
- task:
name: Automatic... | [
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Chakita/Friends | [
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] | conversational | {
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"no_repeat_ngram_size... | 8 | 2022-02-02T03:32:17Z | ---
language:
- km
license: apache-2.0
tags:
- automatic-speech-recognition
- openslr
- robust-speech-event
- km
- generated_from_trainer
- hf-asr-leaderboard
model-index:
- name: xls-r-300m-km
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: OpenSLR ... | [
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Chakita/KannadaBERT | [
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"masked-lm",
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"no_repeat_ngra... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... | [
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Cheatham/xlm-roberta-large-finetuned-d12 | [
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... | 20 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then re... | [
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Chester/traffic-rec | [] | null | {
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"num_beams... | 0 | null | GPT model developed in [Language Models are Few-Shot Butlers](https://arxiv.org/abs/2104.07972). | [
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Chikita1/www_stash_stock | [
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] | null | {
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language: multilingual
datasets:
- common_voice
tags:
- speech
- automatic-speech-recognition
license: apache-2.0
---
# Wav2Vec2-XLSR-53
[Facebook's XLSR-Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
The base model pretrained on 16kHz sampled speech audio. W... | [
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Chinmay/mlindia | [] | null | {
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"num_beams... | 0 | null | #cross_encoder-msmarco-distilbert-word2vec256k-MLM_400k
This CrossEncoder was trained with MarginMSE loss from the [vocab-transformers/msmarco-distilbert-word2vec256k-MLM_400k](https://hf.co/vocab-transformers/msmarco-distilbert-word2vec256k-MLM_400k) checkpoint. **Word embedding matrix has been frozen during traini... | [
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... |
Chiuchiyin/DialoGPT-small-Donald | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 7 | null | #cross_encoder-msmarco-distilbert-word2vec256k-MLM_785k_emb_updated
This CrossEncoder was trained with MarginMSE loss from the [vocab-transformers/msmarco-distilbert-word2vec256k-MLM_785k_emb_updated](https://hf.co/vocab-transformers/msmarco-distilbert-word2vec256k-MLM_785k_emb_updated) checkpoint. **Word embedding ... | [
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Chiuchiyin/Donald | [] | null | {
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"num_beams... | 0 | null | #cross_encoder-msmarco-word2vec256k
This CrossEncoder was trained with MarginMSE loss from the [nicoladecao/msmarco-word2vec256000-distilbert-base-uncased](https://hf.co/nicoladecao/msmarco-word2vec256000-distilbert-base-uncased) checkpoint. **Word embedding matrix has been frozen during training**.
You can load ... | [
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ChoboAvenger/DialoGPT-small-DocBot | [] | null | {
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"num_beams... | 0 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# dense_encoder-msmarco-bert-base-word2vec256k
**Note: Token embeddings where updated!**
This model is based on [msmarco-word2vec256000-bert-base-uncased](https://huggingface.co/nicolade... | [
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ChoboAvenger/DialoGPT-small-joshua | [] | null | {
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"num_beams... | 0 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# dense_encoder-msmarco-distilbert-word2vec256k-MLM_210k
**Note: Token embeddings where updated!**
This model is based on [vocab-transformers/msmarco-distilbert-word2vec256k-MLM_210k](htt... | [
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0... |
ChrisP/xlm-roberta-base-finetuned-marc-en | [] | null | {
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"num_beams... | 0 | 2022-02-21T09:09:23Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# dense_encoder-msmarco-distilbert-word2vec256k-MLM_445k
This model is based on [vocab-transformers/msmarco-distilbert-word2vec256k-MLM_445k](https://huggingface.co/vocab-transformers/msma... | [
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0... |
ChrisVCB/DialoGPT-medium-cmjs | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 7 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# dense_encoder-msmarco-distilbert-word2vec256k-MLM_785k_emb_updated
**Note: Token embeddings where updated!**
This model is based on [vocab-transformers/msmarco-distilbert-word2vec256k-M... | [
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ChrisVCB/DialoGPT-medium-ej | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"min_length": null,
"no_repeat_ngram_size... | 13 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# dense_encoder-msmarco-distilbert-word2vec256k
This model is based on [msmarco-word2vec256000-distilbert-base-uncased](https://huggingface.co/nicoladecao/msmarco-word2vec256000-distilbert... | [
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0.03... |
ChristianOrr/madnet_keras | [
"tensorboard",
"dataset:flyingthings-3d",
"dataset:kitti",
"arxiv:1810.05424",
"vision",
"deep-stereo",
"depth-estimation",
"Tensorflow2",
"Keras",
"license:apache-2.0"
] | depth-estimation | {
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"num_beams... | 0 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# dense_encoder-msmarco-distilbert-word2vec256k
**Note: Token embeddings where updated!**
This model is based on [msmarco-word2vec256000-distilbert-base-uncased](https://huggingface.co/ni... | [
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0.... |
ChristopherA08/IndoELECTRA | [
"pytorch",
"electra",
"pretraining",
"id",
"dataset:oscar",
"transformers"
] | null | {
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],
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"no_repeat_n... | 4 | null | # Model
This model is based on [nicoladecao/msmarco-word2vec256000-distilbert-base-uncased](https://huggingface.co/nicoladecao/msmarco-word2vec256000-distilbert-base-uncased) with a 256k sized vocabulary initialized with word2vec.
This model has been trained with MLM on the MS MARCO corpus collection for 210k steps... | [
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Chuah/DialoGPT-small-harrypotter | [
"pytorch",
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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"min_length": null,
"no_repeat_ngram_size... | 9 | null | # Model
This model is based on [nicoladecao/msmarco-word2vec256000-distilbert-base-uncased](https://huggingface.co/nicoladecao/msmarco-word2vec256000-distilbert-base-uncased) with a 256k sized vocabulary initialized with word2vec.
This model has been trained with MLM on the MS MARCO corpus collection for 230k steps... | [
-0.043756961822509766,
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0.021309159696102142,
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0.03938453644514084,
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0.005574659910053015,
0.0... |
ChukSamuels/DialoGPT-small-Dr.FauciBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 13 | null | # Model
This model is based on [nicoladecao/msmarco-word2vec256000-distilbert-base-uncased](https://huggingface.co/nicoladecao/msmarco-word2vec256000-distilbert-base-uncased) with a 256k sized vocabulary initialized with word2vec.
This model has been trained with MLM on the MS MARCO corpus collection for 400k steps... | [
-0.04414261505007744,
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-0.012498777359724045,
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0.051... |
Chun/DialoGPT-large-dailydialog | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 6 | 2022-02-21T08:52:58Z | # Model
This model is based on [nicoladecao/msmarco-word2vec256000-distilbert-base-uncased](https://huggingface.co/nicoladecao/msmarco-word2vec256000-distilbert-base-uncased) with a 256k sized vocabulary initialized with word2vec.
This model has been trained with MLM on the MS MARCO corpus collection for 445k steps... | [
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-0.01614939607679844,
0.028639845550060272,
0.03670094534754753,
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0.... |
Chun/DialoGPT-medium-dailydialog | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 15 | 2022-02-21T08:55:13Z | # Model
This model is based on [nicoladecao/msmarco-word2vec256000-distilbert-base-uncased](https://huggingface.co/nicoladecao/msmarco-word2vec256000-distilbert-base-uncased) with a 256k sized vocabulary initialized with word2vec.
This model has been trained with MLM on the MS MARCO corpus collection for 785k steps... | [
-0.03338555619120598,
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-0.016547730192542076,
0.028321240097284317,
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0.04053066298365593,
0.03636796399950981,
-0.007988806813955307,
0.0037068191450089216,
... |
Chun/w-en2zh-hsk | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 1 | null | ---
language: zh
pipeline_tag: fill-mask
widget:
- text: "今天[MASK]情很好"
---
# albert_chinese_base
This a albert_chinese_base model from [Google's github](https://github.com/google-research/ALBERT)
converted by huggingface's [script](https://github.com/huggingface/transformers/blob/master/src/transformers/convert_alb... | [
-0.01867169886827469,
-0.021865563467144966,
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0.06383699923753738,
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0.007422064431011677,
... |
Chun/w-en2zh-mtm | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_re... | 7 | 2020-03-06T13:21:01Z | ---
language: zh
pipeline_tag: fill-mask
widget:
- text: "今天[MASK]情很好"
---
# albert_chinese_large
This a albert_chinese_large model from [Google's github](https://github.com/google-research/ALBERT)
converted by huggingface's [script](https://github.com/huggingface/transformers/blob/master/src/transformers/convert_a... | [
-0.01887449622154236,
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0.06886302679777145,
0.015456917695701122,
0.00793270394206047,
0.006770959123969078,
0.037... |
Chun/w-en2zh-otm | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 7 | null | ---
language: zh
pipeline_tag: fill-mask
widget:
- text: "今天[MASK]情很好"
---
# albert_chinese_small
This a albert_chinese_small model from [brightmart/albert_zh project](https://github.com/brightmart/albert_zh), albert_small_google_zh model
converted by huggingface's [script](https://github.com/huggingface/transfor... | [
-0.021717097610235214,
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0... |
Chun/w-zh2en-hsk | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
language: zh
pipeline_tag: fill-mask
widget:
- text: "今天[MASK]情很好"
---
# albert_chinese_tiny
This a albert_chinese_tiny model from [brightmart/albert_zh project](https://github.com/brightmart/albert_zh), albert_tiny_google_zh model
converted by huggingface's [script](https://github.com/huggingface/transformer... | [
-0.021339789032936096,
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0.008851457387208939,
0.0343... |
Chun/w-zh2en-mtm | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 8 | null | ---
language: zh
pipeline_tag: fill-mask
widget:
- text: "今天[MASK]情很好"
---
# albert_chinese_xlarge
This a albert_chinese_xlarge model from [Google's github](https://github.com/google-research/ALBERT)
converted by huggingface's [script](https://github.com/huggingface/transformers/blob/master/src/transformers/conver... | [
-0.01886032707989216,
-0.02024475671350956,
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0.03094986453652382,
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0.06970488280057907,
0.014948959462344646,
0.006376340985298157,
0.006043350324034691,
0.036... |
Chun/w-zh2en-mto | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 7 | null | ---
language: zh
pipeline_tag: fill-mask
widget:
- text: "今天[MASK]情很好"
---
# albert_chinese_xxlarge
This a albert_chinese_xxlarge model from [Google's github](https://github.com/google-research/ALBERT)
converted by huggingface's [script](https://github.com/huggingface/transformers/blob/master/src/transformers/conve... | [
-0.01950991526246071,
-0.019516322761774063,
0.001978903077542782,
0.06556079536676407,
0.031105991452932358,
0.014136106707155704,
-0.023507194593548775,
-0.016582632437348366,
-0.030412957072257996,
0.0695800855755806,
0.01586158387362957,
0.007192518562078476,
0.006296630948781967,
0.03... |
Chungu424/DATA | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language: en
datasets:
- librispeech
tags:
- audio
- automatic-speech-recognition
- speech
- asr
- hubert
license: apache-2.0
metrics:
- wer
- cer
---
# voidful/asr_hubert_cluster_bart_base
## Usage
download file
```shell
wget https://raw.githubusercontent.com/voidful/hubert-cluster-code/main/km_feat_100_layer_2... | [
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0.... |
Chungu424/repo | [] | null | {
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},
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"num_beams... | 0 | null | ---
language: en
tags:
- bart
- distractor
- generation
- seq2seq
datasets:
- race
metrics:
- bleu
- rouge
pipeline_tag: text2text-generation
widget:
- text: "When you ' re having a holiday , one of the main questions to ask is which hotel or apartment to choose . However , when it comes to France , you have another sp... | [
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0.... |
Chungu424/repodata | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | ---
language: en
tags:
- bart
- distractor
- generation
- seq2seq
datasets:
- race
metrics:
- bleu
- rouge
pipeline_tag: text2text-generation
widget:
- text: "When you ' re having a holiday , one of the main questions to ask is which hotel or apartment to choose . However , when it comes to France , you have another sp... | [
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0.000977560062892735,
... |
Chuu/Chumar | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | ---
language: en
tags:
- bart
- distractor
- generation
- seq2seq
datasets:
- race
metrics:
- bleu
- rouge
pipeline_tag: text2text-generation
widget:
- text: "When you ' re having a holiday , one of the main questions to ask is which hotel or apartment to choose . However , when it comes to France , you have another sp... | [
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0.03134090453386307,
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0.0564262755215168,
0.05765471234917641,
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0.005074162036180496,
0.0... |
Ci/Pai | [] | null | {
"architectures": null,
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"task_specific_params": {
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},
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language: en
tags:
- bart
- question
- generation
- seq2seq
datasets:
- eqg-race
metrics:
- bleu
- rouge
pipeline_tag: text2text-generation
widget:
- text: "When you ' re having a holiday , one of the main questions to ask is which hotel or apartment to choose . However , when it comes to France , you have another ... | [
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0.046342816203832626,
0.031095081940293312,
0.0064503708854317665,
0.009511221200227737,... |
Ciruzzo/DialoGPT-medium-harrypotter | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language: en
tags:
- bart
- question
- generation
- seq2seq
datasets:
- unifiedQA
metrics:
- bleu
- rouge
pipeline_tag: text2text-generation
widget:
- text: "Harry Potter is a series of seven fantasy novels written by British author J. K. Rowling. The novels chronicle the lives of a young wizard, Harry Potter, and ... | [
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0.03339524567127228,
0.033108390867710114,
0.013894443400204182,
0.00795372761785984,
0.0... |
Ciruzzo/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
language: multilingual
datasets:
- NQ
- Trivia
- SQuAD
- MLQA
- DRCD
---
# dpr-ctx_encoder-bert-base-multilingual
## Description
Multilingual DPR Model base on bert-base-multilingual-cased.
[DPR model](https://arxiv.org/abs/2004.04906)
[DPR repo](https://github.com/facebookresearch/DPR)
## Data
1. [NQ](https:/... | [
0.0152337197214365,
-0.034549981355667114,
-0.011416365392506123,
0.0698108971118927,
0.044979825615882874,
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0.03875899687409401,
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-0.006886392831802368,
-0.0019078068435192108,
0.03... |
Ciruzzo/DialoGPT-small-hattypotter | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language: multilingual
datasets:
- NQ
- Trivia
- SQuAD
- MLQA
- DRCD
---
# dpr-ctx_encoder-bert-base-multilingual
## Description
Multilingual DPR Model base on bert-base-multilingual-cased.
[DPR model](https://arxiv.org/abs/2004.04906)
[DPR repo](https://github.com/facebookresearch/DPR)
## Data
1. [NQ](https:/... | [
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0.036563076078891754,
0.01370732206851244,
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0.0... |
CleveGreen/FieldClassifier_v2_gpt | [
"pytorch",
"gpt2",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"GPT2ForSequenceClassification"
],
"model_type": "gpt2",
"task_specific_params": {
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},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 26 | null | ---
language: en
datasets:
- librispeech
tags:
- audio
- automatic-speech-recognition
- speech
- asr
- hubert
license: apache-2.0
metrics:
- wer
- cer
---
# voidful/tts_hubert_cluster_bart_base
## Usage
````python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained... | [
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0.03767... |
CleveGreen/JobClassifier_v2 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 37 | null | ---
language: en
tags:
- bart
- question
- generation
- seq2seq
datasets:
- unifiedQA
metrics:
- bleu
- rouge
pipeline_tag: text2text-generation
widget:
- text: "treehouses in france. \n When you ' re having a holiday , one of the main questions to ask is which hotel or apartment to choose . However , when it comes to ... | [
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0.04122897982597351,
0.032477378845214844,
0.001831648638471961,
0.0073547158390283585,
... |
CleveGreen/JobClassifier_v2_gpt | [
"pytorch",
"gpt2",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"GPT2ForSequenceClassification"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 27 | null | ---
language: zh-HK
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
- robust-speech-event
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Cantonese (Hong Kong) by Voidful
results:
- task:
name: Speech Recognition
type: au... | [
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Clint/clinton | [] | null | {
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},
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"num_beams... | 0 | null | ---
language: zh-TW
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
- robust-speech-event
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Taiwanese Mandarin(zh-tw) by Voidful
results:
- task:
name: Speech Recognition
type... | [
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0.... |
Cloudy/DialoGPT-CJ-large | [
"pytorch",
"conversational"
] | conversational | {
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},
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"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 1 | null |
---
language:
- multilingual
- ar
- as
- br
- ca
- cnh
- cs
- cv
- cy
- de
- dv
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- hi
- hsb
- hu
- ia
- id
- ja
- ka
- ky
- lg
- lt
- ly
- mn
- mt
- nl
- or
- pl
- pt
- ro
- ru
- sah
- sl
- ta
- th
- tr
- tt
- uk
- vi
license: apache-2.0
tags:
- audio
- automatic-speech-reco... | [
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0.01504362840205431,
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0.0067321378737688065,... |
CodeMonkey98/distilroberta-base-finetuned-wikitext2 | [] | null | {
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},
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
datasets:
- null
model-index:
- name: BiblItBERT-1
results:
- task:
name: Masked Language Modeling
type: fill-mask
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... | [
-0.009337510913610458,
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... |
CodeNinja1126/bert-q-encoder | [
"pytorch"
] | null | {
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"model_type": null,
"task_specific_params": {
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},
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"num_beams... | 3 | 2021-09-27T10:46:15Z | ---
tags:
- generated_from_trainer
datasets:
- null
model-index:
- name: BibliBERT
results:
- task:
name: Masked Language Modeling
type: fill-mask
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... | [
-0.009660793468356133,
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0... |
CoderEFE/DialoGPT-marxbot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"has_space"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
tags:
- spacy
- token-classification
language:
- fr
model-index:
- name: fr_ner_ingredients
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8990228013
- name: NER Recall
type: recall
value: 0.9019607843... | [
0.011119524016976357,
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0.04625767469406128,
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0.009524524211883545,
0.0... |
CoderEFE/DialoGPT-medium-marx | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
tags:
- spacy
- token-classification
language:
- fr
model-index:
- name: fr_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9011406844
- name: NER Recall
type: recall
value: 0.92578125
- na... | [
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0.043350353837013245,
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0.012937632389366627,
0.0... |
CoffeeAddict93/gpt2-medium-modest-proposal | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
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},
"summarization": {
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"no_repeat_ngram_size... | 7 | null | This model is a downstream optimization of [```vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt```](https://huggingface.co/vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt) using [OpenVINO/NNCF](https://github.com/openvinotoolkit/nncf). Applied optimization includes:
1. magnitude sparsification at 50%... | [
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0.029906729236245155,... |
CoffeeAddict93/gpt2-modest-proposal | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size... | 12 | null | This model is a downstream optimization of [```vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt```](https://huggingface.co/vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt) using [OpenVINO/NNCF](https://github.com/openvinotoolkit/nncf). Applied optimization includes:
1. magnitude sparsification at 57.... | [
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0.0... |
CogComp/bart-faithful-summary-detector | [
"pytorch",
"jax",
"bart",
"text-classification",
"en",
"dataset:xsum",
"transformers",
"xsum",
"license:cc-by-sa-4.0"
] | text-classification | {
"architectures": [
"BartForSequenceClassification"
],
"model_type": "bart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": 1,
"max_length": 128,
"min_length": 12,
"no_repeat_ng... | 234 | null | This model is a downstream optimization of [```vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt```](https://huggingface.co/vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt) using [OpenVINO/NNCF](https://github.com/openvinotoolkit/nncf). Applied optimization includes:
1. magnitude sparsification at 57.... | [
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0.025975102558732033,
... |
CogComp/roberta-temporal-predictor | [
"pytorch",
"roberta",
"fill-mask",
"arxiv:2202.00436",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 14 | null | This model is a downstream optimization of [```vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt```](https://huggingface.co/vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt) using [OpenVINO/NNCF](https://github.com/openvinotoolkit/nncf). Applied optimization includes:
1. magnitude sparsification at 60%... | [
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0.01989457942545414,
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0.029765594750642776,... |
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