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 |
|---|---|---|---|---|---|---|---|
Declan/NPR_model_v1 | [
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"no_repeat_ngram_size... | 3 | 2023-01-29T06:57:18Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: mobilebert_add_GLUE_Experiment_logit_kd_stsb_128
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
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Declan/WallStreetJournal_model_v1 | [
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"no_repeat_ngram_size... | 3 | null | ---
language:
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license: apache-2.0
tags:
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datasets:
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metrics:
- spearmanr
model-index:
- name: mobilebert_add_GLUE_Experiment_logit_kd_stsb_256
results:
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name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
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Declan/WallStreetJournal_model_v3 | [
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language:
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license: apache-2.0
tags:
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metrics:
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model-index:
- name: mobilebert_add_GLUE_Experiment_logit_kd_wnli_256
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type: text-classification
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Declan/WallStreetJournal_model_v4 | [
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"no_repeat_ngram_size... | 7 | null | ---
license: apache-2.0
tags:
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datasets:
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metrics:
- accuracy
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model-index:
- name: distilbert-base-uncased-findtuned-emotion
results:
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name: Text Classification
type: text-classification
dataset:
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Declan/WallStreetJournal_model_v5 | [
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"no_repeat_ngram_size... | 9 | null | ---
license: mit
tags:
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datasets:
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metrics:
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model-index:
- name: xlm-roberta-base-finetuned-panx-it
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type: token-classification
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"no_repeat_ngram_size... | 9 | null | ---
language:
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license: apache-2.0
tags:
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datasets:
- glue
metrics:
- accuracy
model-index:
- name: mobilebert_add_GLUE_Experiment_logit_kd_mnli_256
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type: text-classification
dataset:
name: GLUE MNLI
type: glue
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DeepChem/ChemBERTa-10M-MLM | [
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"no_repeat_ngra... | 90 | null | ---
license: mit
tags:
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datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-en
results:
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name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.en
split: train
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DeepChem/ChemBERTa-5M-MTR | [
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"no_repeat_ng... | 13 | null | ---
library_name: stable-baselines3
tags:
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- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
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DeepChem/ChemBERTa-77M-MLM | [
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"no_repeat_ngra... | 2,416 | null | ---
license: mit
tags:
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metrics:
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model-index:
- name: xlm-roberta-base-finetuned-panx-all
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.... | [
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---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
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---
tags:
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- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.23
inference: false
datasets:
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model-index:
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DeepPavlov/bert-base-cased-conversational | [
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license: apache-2.0
tags:
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datasets:
- wnut_17
metrics:
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- f1
- accuracy
model-index:
- name: my_awsome_wnut_model
results:
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type: token-classification
dataset:
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type: wnut_17
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DeepPavlov/bert-base-multilingual-cased-sentence | [
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---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
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DeepPavlov/distilrubert-base-cased-conversational | [
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"n... | 6,324 | null | ---
license: apache-2.0
tags:
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datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results:
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name: Text Classification
type: text-classification
dataset:
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type: clinc_oos
config: plus
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DeepPavlov/distilrubert-tiny-cased-conversational | [
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"n... | 5,993 | null | ---
language:
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license: apache-2.0
tags:
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datasets:
- glue
metrics:
- spearmanr
model-index:
- name: mobilebert_add_GLUE_Experiment_logit_kd_stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
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---
tags:
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- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
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model-index:
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DeepPavlov/rubert-base-cased-sentence | [
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library_name: stable-baselines3
tags:
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- stable-baselines3
model-index:
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results:
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name: reinforcement-learning
dataset:
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type: LunarLander-v2
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DeepPavlov/rubert-base-cased | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"ru",
"arxiv:1905.07213",
"transformers",
"has_space"
] | feature-extraction | {
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"no_repeat_ngram_size": nul... | 148,127 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: mobilebert_add_GLUE_Experiment_logit_kd_wnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE WNLI
type: glue
conf... | [
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DeividasM/wav2vec2-large-xlsr-53-lithuanian | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"lt",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
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] | automatic-speech-recognition | {
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],
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"no_repeat_ngram_s... | 7 | 2023-01-29T09:53:46Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: mobilebert_add_GLUE_Experiment_logit_kd_mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MNLI
type: glue
conf... | [
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DeltaHub/adapter_t5-3b_cola | [
"pytorch",
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] | null | {
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"num_beams... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/0-clustered
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. -->
# nandysoham/... | [
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DeltaHub/adapter_t5-3b_mrpc | [
"pytorch",
"transformers"
] | null | {
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"num_beams... | 3 | 2023-01-29T09:58:07Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
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DeltaHub/lora_t5-base_mrpc | [
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license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/1-clustered
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. -->
# nandysoham/... | [
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Denilson/gbert-base-germaner | [] | null | {
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"num_beams... | 0 | null | ---
language:
- tr
license: apache-2.0
tags:
- whisper
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Turkish
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozil... | [
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Deniskin/essays_small_2000 | [] | null | {
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license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/3-clustered
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. -->
# nandysoham/... | [
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Deniskin/gpt3_medium | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 52 | 2023-01-29T10:21:40Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/4-clustered
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. -->
# nandysoham/... | [
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Denver/distilbert-base-uncased-finetuned-squad | [] | null | {
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"num_beams... | 0 | 2023-01-29T10:28:33Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/5-clustered
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. -->
# nandysoham/... | [
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Dhruva/Interstellar | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: nandysoham/12-clustered
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. -->
# nandysoham... | [
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0.0... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-50 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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],
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},
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"min_length": null,
"no_rep... | 28 | null | ---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- common_voice_11_0
metrics:
- wer
model-index:
- name: openai/whisper-medium
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: common_voice_11_0
type: com... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-75 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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],
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"no_rep... | 37 | null | ---
license: mit
metrics:
- accuracy
---
# Model Card for noisy_human_cnn
<!-- Provide a quick summary of what the model is/does. -->
CNN with 2 input channels (Melspectrograms and deltas) of 5-second audio signals.
# Model Details
## Model Description
<!-- Provide a longer summary of what this model is. -->
- *... | [
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DoyyingFace/bert-asian-hate-tweets-concat-clean-with-unclean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"no_rep... | 25 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: zinoubm/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. -->
# zinoubm... | [
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albert-base-v1 | [
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"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"AlbertForMaskedLM"
],
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"no_repeat_ngram_... | 38,156 | 2023-01-29T13:31:27Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: swinv2
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. -->
# swinv2
This model is a fine... | [
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albert-base-v2 | [
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"rust",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_... | 4,785,283 | 2023-01-29T13:35:27Z | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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0.... |
albert-large-v2 | [
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"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_... | 26,792 | 2023-01-29T13:42:12Z | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
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0.02210034430027008,
0.0031094523146748543,
0.015265582129359245,
0.027... |
albert-xlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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"no_repeat_ngram_... | 341 | null | Access to model sajinpgupta/smoke_detect is restricted and you are not in the authorized list. Visit https://huggingface.co/sajinpgupta/smoke_detect to ask for access. | [
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0.06471317261457443,
0.02362113445997238,
-0.010151858441531658,
0.022337432950735092,
0.06185... |
albert-xlarge-v2 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
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"no_repeat_ngram_... | 2,973 | 2023-01-29T13:47:06Z | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
inference: false
language:
- en
---
# Rodent Diffusion 1.5 Model Card
Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input.
The **Rodent-Diffusion-1-5** checkpoint was cr... | [
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albert-xxlarge-v2 | [
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"fill-mask",
"en",
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"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
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"no_repeat_ngram_... | 42,640 | null | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.6438356041908264
---
# rare-puppers
Autoge... | [
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0.03... |
bert-base-cased-finetuned-mrpc | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 11,644 | 2023-01-29T14:04:38Z | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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bert-base-cased | [
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"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
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"exbert",
"license:apache-2.0",
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] | fill-mask | {
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"no_repeat_ngram_size... | 8,621,271 | 2023-01-29T14:06:25Z |
---
license: creativeml-openrail-m
base_model: /root/autodl-tmp/sd_weights/models--runwayml--stable-diffusion-v1-5/snapshots/889b629140e71758e1e0006e355c331a5744b4bf
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - jianleo/lora_ruhua_... | [
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0.060419678688049316,
0.012700107879936695,
-0.021269919350743294,
-0.017391961067914963... |
bert-base-chinese | [
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"jax",
"safetensors",
"bert",
"fill-mask",
"zh",
"arxiv:1810.04805",
"transformers",
"autotrain_compatible",
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] | fill-mask | {
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"no_repeat_ngram_size... | 3,377,486 | 2023-01-29T14:08:29Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
Stable Diffusion v1.5 trained model on Oscar Health avatar pictures | [
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bert-base-german-cased | [
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"safetensors",
"bert",
"fill-mask",
"de",
"transformers",
"exbert",
"license:mit",
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"has_space"
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"no_repeat_ngram_size... | 175,983 | null | ---
tags:
- generated_from_trainer
datasets:
- silicone
metrics:
- accuracy
model-index:
- name: twitter-roberta-base-sentiment
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: silicone
type: silicone
config: swda
split: test
args: swd... | [
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0.0... |
bert-base-german-dbmdz-uncased | [
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"safetensors",
"bert",
"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 68,305 | 2023-01-29T14:18:08Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.52 +/- 2.67... | [
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bert-base-multilingual-uncased | [
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"jax",
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"bert",
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"multilingual",
"af",
"sq",
"ar",
"an",
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"eu",
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"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
... | fill-mask | {
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"no_repeat_ngram_size... | 328,585 | 2023-01-29T14:24:10Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: qtaxi
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71
... | [
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bert-base-uncased | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 59,663,489 | 2023-01-29T14:25:33Z | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
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0.0688292384147644,
0.02225615829229355,
0.0035124914720654488,
0.0151698999106884,
0.0281... |
bert-large-cased-whole-word-masking-finetuned-squad | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
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] | question-answering | {
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"no_repeat_n... | 8,214 | 2023-01-29T14:26:11Z | ---
license: openrail++
tags:
- stable-diffusion
- text-to-image
pinned: true
---
# Model Card for flex-diffusion-2-1
<!-- Provide a quick summary of what the model is/does. [Optional] -->
stable-diffusion-2-1 (stabilityai/stable-diffusion-2-1) finetuned with different aspect ratios.
## TLDR:
### There are 2 models... | [
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bert-large-cased | [
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"no_repeat_ngram_size... | 388,769 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: simba-1.3b
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. -->
# simba-1.3b
This model is a fin... | [
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0.03... |
bert-large-uncased-whole-word-masking-finetuned-squad | [
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"jax",
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"en",
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"dataset:wikipedia",
"arxiv:1810.04805",
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] | question-answering | {
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"no_repeat_n... | 480,510 | 2023-01-29T14:31:50Z |
---
license: creativeml-openrail-m
base_model: /root/autodl-tmp/sd_weights/models--runwayml--stable-diffusion-v1-5/snapshots/889b629140e71758e1e0006e355c331a5744b4bf
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - jianleo/lora_ruhua_... | [
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0.06073560193181038,
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-0.017037255689501762... |
bert-large-uncased-whole-word-masking | [
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"jax",
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"bert",
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"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
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"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 76,685 | 2023-01-29T14:32:10Z | ---
language: de
datasets:
- Short-Answer-Feedback/saf_legal_domain_german
tags:
- generated_from_trainer
widget:
- text: "Antwort: Wird sich nicht an die Auflagen gehalten (unzureichende Eigenbemühung), droht eine Sperrzeit von 1-2 Wochen. Dadurch wird für die genannte zeit keine Leistung gezahlt, die Anspruchsdauer v... | [
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0.01373... |
bert-large-uncased | [
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"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"BertForMaskedLM"
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"no_repeat_ngram_size... | 1,058,496 | 2023-01-29T14:33:36Z | ---
tags:
- generated_from_trainer
model-index:
- name: speller-t5-ds
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. -->
# speller-t5-ds
This model is a fine-tuned... | [
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... |
distilbert-base-cased-distilled-squad | [
"pytorch",
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"rust",
"safetensors",
"openvino",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"arxiv:1910.01108",
"arxiv:1910.09700",
"transformers",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"DistilBertForQuestionAnswering"
],
"model_type": "distilbert",
"task_specific_params": {
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... | 257,745 | 2023-01-29T14:46:06Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_rewa... | [
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0.08379440009593964,
0.016134046018123627,
-0.007954408414661884,
0.01265584584325552,
0.019... |
distilbert-base-multilingual-cased | [
"pytorch",
"tf",
"onnx",
"safetensors",
"distilbert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
... | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"min_length": null,
"no_repea... | 8,339,633 | 2023-01-29T14:51:31Z | ---
tags:
- generated_from_keras_callback
model-index:
- name: layoutlm-funsd-tf
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. -->
# layoutlm-funsd-tf
This model is a f... | [
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distilbert-base-uncased-finetuned-sst-2-english | [
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"tf",
"rust",
"safetensors",
"distilbert",
"text-classification",
"en",
"dataset:sst2",
"dataset:glue",
"arxiv:1910.01108",
"doi:10.57967/hf/0181",
"transformers",
"license:apache-2.0",
"model-index",
"has_space"
] | text-classification | {
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"DistilBertForSequenceClassification"
],
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... | 3,060,704 | 2023-01-29T15:00:16Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
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13on/kw2t-wishes | [
"pytorch",
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] | text2text-generation | {
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"no_repeat_n... | 10 | 2023-01-29T17:49:20Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71
... | [
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61birds/distilbert-base-uncased-finetuned-cola | [] | null | {
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"num_beams... | 0 | 2023-01-29T19:17:48Z | ---
language: es
thumbnail: https://i.imgur.com/jgBdimh.png
license: apache-2.0
duplicated_from: mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es
---
# BETO (Spanish BERT) + Spanish SQuAD2.0 + distillation using 'bert-base-multilingual-cased' as teacher
This model is a fine-tuned on [SQuAD-es-v2.0]... | [
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ASCCCCCCCC/PENGMENGJIE | [
"license:apache-2.0"
] | null | {
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"num_beams... | 0 | 2023-01-29T22:07:03Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: mobilebert_sa_GLUE_Experiment_logit_kd_mrpc_256
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: glue
... | [
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AdapterHub/bert-base-uncased-pf-quail | [
"bert",
"en",
"dataset:quail",
"arxiv:2104.08247",
"adapter-transformers"
] | null | {
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"num_bea... | 2 | 2023-01-30T02:04:45Z | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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AdapterHub/bert-base-uncased-pf-squad | [
"bert",
"en",
"dataset:squad",
"arxiv:2104.08247",
"adapter-transformers",
"question-answering",
"adapterhub:qa/squad1"
] | question-answering | {
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"num_bea... | 9 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71... | [
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AdapterHub/roberta-base-pf-mit_movie_trivia | [
"roberta",
"en",
"arxiv:2104.08247",
"adapter-transformers",
"token-classification",
"adapterhub:ner/mit_movie_trivia"
] | token-classification | {
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"num_... | 0 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
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... |
Aftabhussain/Tomato_Leaf_Classifier | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index",
"autotrain_compatible"
] | image-classification | {
"architectures": [
"ViTForImageClassification"
],
"model_type": "vit",
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},
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"min_length": null,
"no_repeat_n... | 50 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: mobilebert_sa_GLUE_Experiment_logit_kd_stsb_128
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
... | [
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Aleksandar1932/distilgpt2-rock | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 11 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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-0.009151292964816093,
0.025461679324507713,
... |
AlexMaclean/sentence-compression | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
"model_type": "distilbert",
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},
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... | 16 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: my-awesome-model
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# my-awesome-model
... | [
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Alireza1044/albert-base-v2-wnli | [
"pytorch",
"albert",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
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},
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"no... | 164 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
datasets:
- allenai/nllb
---
# Ramos-Ramos/xlm-roberta-base-en-tl-4-1000
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional den... | [
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0.0... |
AndrewMcDowell/wav2vec2-xls-r-300m-japanese | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ja",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
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"Wav2Vec2ForCTC"
],
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"no_repeat_ngram_s... | 4 | null | ---
language:
- en
- ru
- multilingual
license: cc-by-sa-4.0
tags:
- translation
- wmt20
widget:
- text: "Сахалинская кайнозойская складчатая область разделяется на Восточную и Западную зоны, разделённые Центрально-Сахалинским грабеном."
- text: "Существует несколько мнений о его точном месторасположении."
- text: "Кру... | [
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AndrewNLP/redditDepressionPropensityClassifiers | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71
... | [
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0.0... |
AnonymousSub/cline-emanuals-techqa | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"min_length": null,
"no_re... | 4 | null | # Joint Pruning, Quantization and Distillation for BERT-large/SQuADv1.1
## Setup
```bash
git clone https://github.com/vuiseng9/optimum-intel
cd optimum-intel
pip install -e .[openvino,nncf]
cd examples/openvino/question-answering/
pip install -r requirements.txt
pip install wandb # optional
```
## Run
```bash
NNCF... | [
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... |
AnonymousSubmission/pretrained-model-1 | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```pyth... | [
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0... |
AnthonyNelson/DialoGPT-small-ricksanchez | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | 2023-01-30T22:36:24Z | ---
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
... | [
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Anthos23/FS-distilroberta-fine-tuned | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"has_space"
] | text-classification | {
"architectures": [
"RobertaForSequenceClassification"
],
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"... | 33 | null | ---
language:
- en
tags:
- Token Classification
widget:
- text: >-
The FDA approved deucravacitinib for moderate-to-severe plaque psoriasis in
adult patients.
example_title: example 1
metrics:
- accuracy
---
This is a model to detect treatment and disease mentions in texts from health domains.
The dataset us... | [
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Anthos23/sentiment-roberta-large-english-finetuned-sentiment-analysis | [] | null | {
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---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
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Anubhav23/model_name | [] | null | {
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"num_beams... | 0 | null | ---
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
... | [
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Apisate/DialoGPT-small-jordan | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 12 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: reinforce-pixelcopter
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
... | [
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-0... |
Apisate/Discord-Ai-Bot | [
"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... | 11 | null | ---
tags:
- spacy
- text-classification
language:
- en
model-index:
- name: en_textcat_sales
results: []
---
| Feature | Description |
| --- | --- |
| **Name** | `en_textcat_sales` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.4.3,<3.5.0` |
| **Default Pipeline** | `textcat` |
| **Components** | `textcat` |
| **Vect... | [
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Aplinxy9plin/toxic-detection-rus | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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... |
Apoorva/k2t-test | [
"pytorch",
"t5",
"text2text-generation",
"en",
"transformers",
"keytotext",
"k2t",
"Keywords to Sentences",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
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},
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"min_length": 30,
"no_repeat_ngram_s... | 7 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
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0.0... |
ArBert/albert-base-v2-finetuned-ner-agglo-twitter | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
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"no_re... | 27 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```pyth... | [
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ArBert/albert-base-v2-finetuned-ner-gmm-twitter | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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"no_re... | 8 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: QTableTaxi
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.54 +/- 2.7... | [
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ArBert/albert-base-v2-finetuned-ner-kmeans-twitter | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
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"no_re... | 10 | 2023-01-30T23:44:16Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: flan-t5-xl-samsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
config: samsum
split: ... | [
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ArBert/albert-base-v2-finetuned-ner-kmeans | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
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"no_re... | 8 | 2023-01-30T23:44:21Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
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ArBert/albert-base-v2-finetuned-ner | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
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},
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"min_length": null,
"no_re... | 19 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: Frozen... | [
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ArBert/bert-base-uncased-finetuned-ner-kmeans | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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"BertForTokenClassification"
],
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},
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"no_repeat... | 6 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71... | [
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ArBert/roberta-base-finetuned-ner-agglo | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- spacy
- token-classification
language:
- grc
model-index:
- name: grc_dep_treebanks_sm
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.7489347434
- task:
name: POS
type: token-classification
... | [
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ArBert/roberta-base-finetuned-ner-kmeans-twitter | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"autotrain_compatible"
] | token-classification | {
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],
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"no_... | 10 | 2023-01-31T00:34:58Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
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0.0... |
ArBert/roberta-base-finetuned-ner-kmeans | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"RobertaForTokenClassification"
],
"model_type": "roberta",
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_... | 8 | null | ---
license: cc-by-nc-sa-4.0
language:
- en
library_name: diffusers
tags:
- stable-diffusion
- text-to-image
widget:
- text: >-
(yanyuan), 1girl, masterpiece, best quality, beautiful detailed sky, snowy street,
[smile], dynamic angle, full body, flat chest, volume light, [red eyes]
example_title... | [
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0.0... |
ArJakusz/DialoGPT-small-starky | [] | null | {
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"num_beams... | 0 | 2023-01-31T00:40:28Z | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generatioon.
## Usage
```python
from di... | [
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0.04... |
Aracatto/Catto | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
datasets:
- dataset
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: dccuchile-distilbert-base-spanish-uncased-finetuned-with-spanish-tweets-clf
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: dataset
... | [
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Araf/Ummah | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- dataset
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilbert-base-multilingual-cased-finetuned-with-spanish-tweets-clf
results:
- task:
name: Text Classification
type: text-classification
dataset:
name:... | [
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AragornII/DialoGPT-small-harrypotter | [] | null | {
"architectures": null,
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"num_beams... | 0 | 2023-01-31T00:55:49Z | ---
license: creativeml-openrail-m
tags:
- coreml
- stable-diffusion
- text-to-image
---
# Core ML Converted Model:
- This model was converted to [Core ML for use on Apple Silicon devices](https://github.com/apple/ml-stable-diffusion). Conversion instructions can be found [here](https://github.com/godly-devotion/Moc... | [
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Aran/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"min_length": null,
"no_repeat_ngram_size... | 8 | null | ---
tags:
- ner
- punctuation
language:
- zh
---
# zh-wiki-punctuation-restore
More Detail: https://github.com/p208p2002/ZH-Punctuation-Restore
共計支援6種標點符號: ， 、 。 ？ ！ ；
## Install
```bash
# pip install torch pytorch-lightning
pip install zhpr
```
## Usage
```python
from zhpr.predict import DocumentDataset,merge_stri... | [
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ArashEsk95/bert-base-uncased-finetuned-cola | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-labor_space_v3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... | [
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0.... |
Aravinth/test | [] | null | {
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},
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"num_beams... | 0 | 2023-01-31T01:26:38Z |
---
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-2
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA text2image fine-tuning - https://huggingface.co/erkam/sd-clevr-lora
These are LoRA adaption weights for stabilityai/stab... | [
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0.011516924947500229,... |
Arcanos/1 | [] | null | {
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"num_beams... | 0 | 2023-01-31T01:32:39Z | ---
license: mit
---
### mofmof-style on Stable Diffusion
This is the `<mofmof>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) ... | [
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0.033... |
Arcktosh/DialoGPT-small-rick | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 8 | null | ---
library_name: keras
---
The model weights were generated using this tutorial: [Teach StableDiffusion new concepts via Textual Inversion](https://keras.io/examples/generative/fine_tune_via_textual_inversion/). | [
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0.02... |
Arghyad/Loki_small | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: Vigec-V6
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Vigec-V6
This model is a fine-tu... | [
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AriakimTaiyo/kumiko | [] | null | {
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"num_beams... | 0 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
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Arina/Erine | [] | null | {
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"num_beams... | 0 | null | ---
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
... | [
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0.... |
ArjunKadya/HuggingFace | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### UtilityPole Dreambooth model trained by BotsOne with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [... | [
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ArnaudPannatier/MLPMixer | [] | null | {
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"num_beams... | 0 | 2023-01-31T02:52:56Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
config: plus
... | [
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... |
Arnold/wav2vec2-hausa2-demo-colab | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 9 | null | ---
license: apache-2.0
datasets:
- bigcode/the-stack
language:
- code
programming_language:
- TypeScript
pipeline_tag: text-generation
---
| [
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0... |
Aron/distilbert-base-uncased-finetuned-emotion | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
... | 36 | null | ---
language:
- en
license: mit
---
# E5-small-unsupervised
**This model is similar to [e5-small](https://huggingface.co/intfloat/e5-small) but without supervised fine-tuning.**
[Text Embeddings by Weakly-Supervised Contrastive Pre-training](https://arxiv.org/pdf/2212.03533.pdf).
Liang Wang, Nan Yang, Xiaolong Huang,... | [
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... |
ArseniyBolotin/bert-multi-PAD-ner | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
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},
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"no_repeat... | 11 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Cartpole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
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0.... |
Ayham/bert_roberta_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 3 | null | ---
datasets:
- squad_it
metrics:
- squad
language:
- it
license: apache-2.0
tags:
- italian
- squad_it
- question-answering
widget:
- text: Qual è il soprannome di Vasco Rossi?
context: >-
Vasco Rossi, noto anche semplicemente come Vasco e in passato con
l'appellativo Blasco (Zocca, 7 febbraio 1952), è un c... | [
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0.032925039529800415,
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0.01578463427722454,
0.073... |
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