modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Piyakrit/bert-finetuned-mrpc | 2023-10-22T05:59:32.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Piyakrit | null | null | Piyakrit/bert-finetuned-mrpc | 0 | 2 | transformers | 2023-10-22T05:31:48 | ---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_keras_callback
model-index:
- name: bert-finetuned-mrpc
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then r... | 1,561 | [
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0.00885009765625,
0.01025390625,
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-0.01416015... |
GuysTrans/bart-base-chat-512-seq-mini | 2023-10-25T02:07:26.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | GuysTrans | null | null | GuysTrans/bart-base-chat-512-seq-mini | 0 | 2 | transformers | 2023-10-22T06:38:46 | ---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: bart-base-chat-512-seq-mini
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 remo... | 1,379 | [
[
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0.037841796875,
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-0.0482177734375,
-0.03436279296875,
-0.00927... |
HansOMEL/qa_plot | 2023-10-23T14:28:02.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | HansOMEL | null | null | HansOMEL/qa_plot | 0 | 2 | transformers | 2023-10-22T07:34:12 | ---
license: apache-2.0
base_model: hfl/chinese-bert-wwm-ext
tags:
- generated_from_trainer
model-index:
- name: qa_plot
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 commen... | 1,557 | [
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TanmaySah/lb15epoch | 2023-10-23T11:19:49.000Z | [
"peft",
"region:us"
] | null | TanmaySah | null | null | TanmaySah/lb15epoch | 0 | 2 | peft | 2023-10-22T13:14:13 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 853 | [
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0... |
zibaatak/book-buddy-question-generator | 2023-11-03T13:37:32.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:squad",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | zibaatak | null | null | zibaatak/book-buddy-question-generator | 0 | 2 | transformers | 2023-10-22T14:09:35 | ---
language:
- en
library_name: transformers
pipeline_tag: text2text-generation
license: mit
datasets:
- squad
---
# Book Buddy - Question Generator
This fine-tuned model was generated to help students study.
By submitting their texts, the model will generate a question to help them study.
## Model Details
- **Mod... | 1,260 | [
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... |
AzureBlack/PsyMedRP-v1-20B-8bpw-8h-exl2 | 2023-10-25T16:15:16.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | AzureBlack | null | null | AzureBlack/PsyMedRP-v1-20B-8bpw-8h-exl2 | 0 | 2 | transformers | 2023-10-22T15:04:44 | ---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
---
Exllama 2 version of the model created by the work of Undi95
Original Model https://huggingface.co/Undi95/PsyMedRP-v1-20B
Requires ExllamaV2, which is being developed by turboderp https://github.com/turboderp/exllamav2 under an MIT license.
```
Psy... | 1,349 | [
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-0... |
anandhan/Llama-2-7b-chat-hf-fine-tuned-adapters | 2023-10-22T15:33:04.000Z | [
"peft",
"region:us"
] | null | anandhan | null | null | anandhan/Llama-2-7b-chat-hf-fine-tuned-adapters | 0 | 2 | peft | 2023-10-22T15:33:02 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_ty... | 435 | [
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0... |
Naveengo/distilbert-finetune-on-imdb-for-masked_language | 2023-10-22T16:54:45.000Z | [
"transformers",
"tf",
"distilbert",
"fill-mask",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | Naveengo | null | null | Naveengo/distilbert-finetune-on-imdb-for-masked_language | 0 | 2 | transformers | 2023-10-22T16:21:47 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: Naveengo/distilbert-finetune-on-imdb-for-masked_language
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably p... | 1,457 | [
[
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-0... |
art-bashkirev/DistilBERT-Test | 2023-10-22T19:26:34.000Z | [
"transformers",
"tf",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | art-bashkirev | null | null | art-bashkirev/DistilBERT-Test | 0 | 2 | transformers | 2023-10-22T18:28:18 | ---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_keras_callback
model-index:
- name: art-bashkirev/DistilBERT-Test
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, the... | 1,617 | [
[
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0.0214385986328125,
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0.0028057098388671875,
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-0.043487548828125,
-0.058746337890625... |
Sheryl815/clip-vit-base-patch32-purr | 2023-10-24T02:19:11.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"clip",
"zero-shot-image-classification",
"vision",
"arxiv:2103.00020",
"arxiv:1908.04913",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | Sheryl815 | null | null | Sheryl815/clip-vit-base-patch32-purr | 0 | 2 | transformers | 2023-10-22T19:54:16 | ---
tags:
- vision
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
candidate_labels: playing music, playing sports
example_title: Cat & Dog
---
# Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found ... | 7,930 | [
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-0.03143310546875,
-0.04891967773437... |
LoneStriker/SynthIA-7B-v2.0-3.0bpw-h6-exl2 | 2023-10-22T21:04:25.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/SynthIA-7B-v2.0-3.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-22T21:04:12 | ---
license: apache-2.0
pipeline_tag: text-generation
language:
- en
library_name: transformers
---
## Example Usage
### Prompt format:
```
SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation.
... | 2,322 | [
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LoneStriker/SynthIA-7B-v2.0-8.0bpw-h6-exl2 | 2023-10-22T21:32:45.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/SynthIA-7B-v2.0-8.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-22T21:31:55 | ---
license: apache-2.0
pipeline_tag: text-generation
language:
- en
library_name: transformers
---
## Example Usage
### Prompt format:
```
SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation.
... | 2,322 | [
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-0.0122528076171875... |
Meztli66/speecht5_finetuned_voxpopuli_sl | 2023-10-23T02:31:28.000Z | [
"transformers",
"pytorch",
"speecht5",
"text-to-audio",
"generated_from_trainer",
"dataset:voxpopuli",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-to-audio | Meztli66 | null | null | Meztli66/speecht5_finetuned_voxpopuli_sl | 0 | 2 | transformers | 2023-10-23T01:42:32 | ---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_sl
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and... | 1,447 | [
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hung200504/bert-covidqa | 2023-10-23T02:05:27.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"dataset:covid_qa_deepset",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | hung200504 | null | null | hung200504/bert-covidqa | 0 | 2 | transformers | 2023-10-23T02:05:06 | ---
base_model: phiyodr/bert-base-finetuned-squad2
tags:
- generated_from_trainer
datasets:
- covid_qa_deepset
model-index:
- name: bert-covidqa
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... | 2,417 | [
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hung200504/bert-covidqa-3 | 2023-10-23T03:32:33.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"dataset:covid_qa_deepset",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | hung200504 | null | null | hung200504/bert-covidqa-3 | 0 | 2 | transformers | 2023-10-23T03:32:12 | ---
license: cc-by-4.0
base_model: deepset/bert-base-uncased-squad2
tags:
- generated_from_trainer
datasets:
- covid_qa_deepset
model-index:
- name: bert-covidqa-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofre... | 2,434 | [
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0.0202789306640625,
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-0.0469970703125,
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... |
jl0414/pokemon-lora | 2023-10-23T08:32:50.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"lora",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | jl0414 | null | null | jl0414/pokemon-lora | 0 | 2 | diffusers | 2023-10-23T03:38:44 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA text2image fine-tuning - jl0414/pokemon-lora
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The wei... | 540 | [
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-0.00275802612304... |
Rahul-G/my_awesome_model | 2023-10-23T08:20:44.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Rahul-G | null | null | Rahul-G/my_awesome_model | 0 | 2 | transformers | 2023-10-23T05:10:45 | ---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and com... | 1,946 | [
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kriszhou/finetuning-sentiment-model-3000-samples | 2023-10-23T07:22:09.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | kriszhou | null | null | kriszhou/finetuning-sentiment-model-3000-samples | 0 | 2 | transformers | 2023-10-23T06:15:16 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type:... | 1,578 | [
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thanhnew2001/bloom7b1 | 2023-10-23T07:34:57.000Z | [
"transformers",
"text-generation",
"ak",
"ar",
"as",
"bm",
"bn",
"ca",
"code",
"en",
"es",
"eu",
"fon",
"fr",
"gu",
"hi",
"id",
"ig",
"ki",
"kn",
"lg",
"ln",
"ml",
"mr",
"ne",
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"or",
"pa",
"pt",
"rn",
"rw",
"sn",
"st",
"sw",
"ta",
"... | text-generation | thanhnew2001 | null | null | thanhnew2001/bloom7b1 | 0 | 2 | transformers | 2023-10-23T07:08:33 | ---
license: bigscience-bloom-rail-1.0
language:
- ak
- ar
- as
- bm
- bn
- ca
- code
- en
- es
- eu
- fon
- fr
- gu
- hi
- id
- ig
- ki
- kn
- lg
- ln
- ml
- mr
- ne
- nso
- ny
- or
- pa
- pt
- rn
- rw
- sn
- st
- sw
- ta
- te
- tn
- ts
- tum
- tw
- ur
- vi
- wo
- xh
- yo
- zh
- zhs
- zht
- zu
pipeline_tag: text-gener... | 20,561 | [
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thanhnew2001/falcon7b | 2023-10-23T08:07:43.000Z | [
"transformers",
"en",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:2205.14135",
"arxiv:1911.02150",
"arxiv:2101.00027",
"arxiv:2005.14165",
"arxiv:2104.09864",
"arxiv:2306.01116",
"license:apache-2.0",
"region:us"
] | null | thanhnew2001 | null | null | thanhnew2001/falcon7b | 0 | 2 | transformers | 2023-10-23T07:48:28 | ---
datasets:
- tiiuae/falcon-refinedweb
language:
- en
inference: false
license: apache-2.0
---
# 🚀 Falcon-7B
**Falcon-7B is a 7B parameters causal decoder-only model built by [TII](https://www.tii.ae) and trained on 1,500B tokens of [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb) enhanced wi... | 10,292 | [
[
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mateiaass/albert-base-qa-2-k-fold-1 | 2023-10-23T14:24:07.000Z | [
"transformers",
"pytorch",
"albert",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | mateiaass | null | null | mateiaass/albert-base-qa-2-k-fold-1 | 0 | 2 | transformers | 2023-10-23T09:37:55 | ---
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_trainer
model-index:
- name: albert-base-qa-2-k-fold-1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove thi... | 1,398 | [
[
-0.0309295654296875,
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0.038818359375,
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-0.04656982421875,
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queuemin/bert-finetuned-squad | 2023-10-24T01:11:46.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | queuemin | null | null | queuemin/bert-finetuned-squad | 0 | 2 | transformers | 2023-10-23T10:02:41 | ---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-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, t... | 1,078 | [
[
-0.044464111328125,
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sainteye/ifoodie-rating-reset-v7 | 2023-10-23T12:05:26.000Z | [
"transformers",
"pytorch",
"tensorboard",
"swin",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | sainteye | null | null | sainteye/ifoodie-rating-reset-v7 | 0 | 2 | transformers | 2023-10-23T12:05:22 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: ifoodie-rating-reset-v7
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9685534834861755
---
# ifoodie-ra... | 468 | [
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Pollathorn/food_classifier | 2023-10-23T13:26:51.000Z | [
"transformers",
"tf",
"vit",
"image-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | Pollathorn | null | null | Pollathorn/food_classifier | 0 | 2 | transformers | 2023-10-23T13:07:30 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: Pollathorn/food_classifier
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complet... | 1,690 | [
[
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mimunto/food_classifier | 2023-10-23T13:26:59.000Z | [
"transformers",
"tf",
"vit",
"image-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | mimunto | null | null | mimunto/food_classifier | 0 | 2 | transformers | 2023-10-23T13:17:16 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: mimunto/food_classifier
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete i... | 1,683 | [
[
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aikidoaikido115/food_classifier | 2023-10-23T13:26:54.000Z | [
"transformers",
"tf",
"vit",
"image-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | aikidoaikido115 | null | null | aikidoaikido115/food_classifier | 0 | 2 | transformers | 2023-10-23T13:19:23 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: aikidoaikido115/food_classifier
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and co... | 1,700 | [
[
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nlplabtdtu/distil-sbert-base-uncased | 2023-10-23T13:22:33.000Z | [
"sentence-transformers",
"pytorch",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | nlplabtdtu | null | null | nlplabtdtu/distil-sbert-base-uncased | 0 | 2 | sentence-transformers | 2023-10-23T13:21:31 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | 3,882 | [
[
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koobear/wbc-50-no-pretrain-20-epoch | 2023-10-23T14:12:17.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:image_folder",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | koobear | null | null | koobear/wbc-50-no-pretrain-20-epoch | 0 | 2 | transformers | 2023-10-23T14:12:03 | ---
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: wbc-50-no-pretrain-20-epoch
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
config: d... | 4,080 | [
[
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quastrinos/TF-40k-openbook-finetuned-deberta-v3-large-mcqa-TPU-v2 | 2023-10-23T15:49:28.000Z | [
"transformers",
"tf",
"deberta-v2",
"multiple-choice",
"generated_from_keras_callback",
"license:mit",
"endpoints_compatible",
"region:us"
] | multiple-choice | quastrinos | null | null | quastrinos/TF-40k-openbook-finetuned-deberta-v3-large-mcqa-TPU-v2 | 0 | 2 | transformers | 2023-10-23T15:42:05 | ---
license: mit
base_model: microsoft/deberta-v3-large
tags:
- generated_from_keras_callback
model-index:
- name: TF-40k-openbook-finetuned-deberta-v3-large-mcqa-TPU-v2
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofre... | 1,873 | [
[
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milaO/classification | 2023-10-23T15:50:27.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | milaO | null | null | milaO/classification | 0 | 2 | transformers | 2023-10-23T15:50:20 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: classification
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9253731369972229
---
# classification
Au... | 578 | [
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0.0... |
FranzderPapst/ZGBot | 2023-10-23T17:06:41.000Z | [
"transformers",
"pytorch",
"distilbert",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | FranzderPapst | null | null | FranzderPapst/ZGBot | 0 | 2 | transformers | 2023-10-23T16:01:00 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: ZGBot
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. ... | 1,036 | [
[
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Mahmoud8/distilbert-base-uncased-Nv | 2023-10-23T16:24:51.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Mahmoud8 | null | null | Mahmoud8/distilbert-base-uncased-Nv | 0 | 2 | transformers | 2023-10-23T16:12:22 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-Nv
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread an... | 1,639 | [
[
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koobear/wbc-1-no-pretrain-20-epoch | 2023-10-23T16:31:42.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:image_folder",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | koobear | null | null | koobear/wbc-1-no-pretrain-20-epoch | 0 | 2 | transformers | 2023-10-23T16:31:27 | ---
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: wbc-1-no-pretrain-20-epoch
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
config: de... | 4,081 | [
[
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koobear/wbc-10-no-pretrain-20-epoch | 2023-10-23T16:39:48.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:image_folder",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | koobear | null | null | koobear/wbc-10-no-pretrain-20-epoch | 0 | 2 | transformers | 2023-10-23T16:39:32 | ---
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: wbc-10-no-pretrain-20-epoch
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
config: d... | 4,080 | [
[
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lucas-meyer/xls-r-asr_af-run3 | 2023-10-23T19:34:57.000Z | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | lucas-meyer | null | null | lucas-meyer/xls-r-asr_af-run3 | 0 | 2 | transformers | 2023-10-23T17:19:57 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-300m-asr_af-run3
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 comm... | 1,916 | [
[
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-0.04522705078125,
-0.051239013671875,
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jovanlopez32/vit_model | 2023-10-23T20:19:20.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:beans",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | jovanlopez32 | null | null | jovanlopez32/vit_model | 0 | 2 | transformers | 2023-10-23T19:06:48 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
model-index:
- name: vit_model
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: beans
type: beans
config: ... | 1,681 | [
[
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viditnaik/SecBERT-finetuned-imdb | 2023-10-23T19:55:26.000Z | [
"transformers",
"tf",
"bert",
"fill-mask",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | viditnaik | null | null | viditnaik/SecBERT-finetuned-imdb | 0 | 2 | transformers | 2023-10-23T19:50:40 | ---
license: apache-2.0
base_model: jackaduma/SecBERT
tags:
- generated_from_keras_callback
model-index:
- name: viditnaik/SecBERT-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then... | 1,796 | [
[
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viditnaik/bert-base-uncased-finetuned-imdb | 2023-10-23T20:27:07.000Z | [
"transformers",
"tf",
"bert",
"fill-mask",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | viditnaik | null | null | viditnaik/bert-base-uncased-finetuned-imdb | 0 | 2 | transformers | 2023-10-23T20:20:38 | ---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: viditnaik/bert-base-uncased-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complet... | 1,816 | [
[
-0.044586181640625,
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0.01157379150390625,
0.01557159423828125,
-0.057373046875,
-0.04168701171875,
-0.0509033203125,
-0.0... |
toobiza/MT-swept-armadillo-86 | 2023-10-23T23:16:21.000Z | [
"transformers",
"pytorch",
"table-transformer",
"object-detection",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | object-detection | toobiza | null | null | toobiza/MT-swept-armadillo-86 | 0 | 2 | transformers | 2023-10-23T22:53:36 | ---
base_model: toobiza/table-transformer-stellar-vortex-81
tags:
- generated_from_trainer
model-index:
- name: MT-swept-armadillo-86
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... | 1,392 | [
[
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asmallgreenpotato/falcon-7b-ft-miia2-adapters | 2023-10-23T23:08:21.000Z | [
"peft",
"arxiv:1910.09700",
"region:us"
] | null | asmallgreenpotato | null | null | asmallgreenpotato/falcon-7b-ft-miia2-adapters | 0 | 2 | peft | 2023-10-23T23:07:45 | ---
library_name: peft
base_model: tiiuae/falcon-7b
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:*... | 5,882 | [
[
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Technonia/mistral-instruct-7b-cot-neftune | 2023-10-24T02:18:32.000Z | [
"peft",
"region:us"
] | null | Technonia | null | null | Technonia/mistral-instruct-7b-cot-neftune | 0 | 2 | peft | 2023-10-24T02:13:52 | ---
library_name: peft
---
## Overview
Finetuned the mistralai/Mistral-7B-Instruct-v0.1 model on kaist-ai/CoT-Collection dataset.
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_thres... | 569 | [
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0.0002760887... |
thrunlab/t5-base_cola_dense_epochs-1 | 2023-10-24T18:20:57.000Z | [
"transformers",
"pytorch",
"t5",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-classification | thrunlab | null | null | thrunlab/t5-base_cola_dense_epochs-1 | 0 | 2 | transformers | 2023-10-24T02:51:49 | ---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: t5-base_cola_dense_epochs-1
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
sp... | 1,782 | [
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-0... |
dvijay/llama-2-7b-chat-hf-guanaco-1k | 2023-10-24T07:12:25.000Z | [
"peft",
"region:us"
] | null | dvijay | null | null | dvijay/llama-2-7b-chat-hf-guanaco-1k | 0 | 2 | peft | 2023-10-24T04:54:44 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: QuantizationMethod.BITS_AND_BYTES
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- l... | 485 | [
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0.... |
koobear/wbc-100-pretrain-20-epoch | 2023-10-24T07:16:09.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:image_folder",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | koobear | null | null | koobear/wbc-100-pretrain-20-epoch | 0 | 2 | transformers | 2023-10-24T07:15:53 | ---
license: apache-2.0
base_model: koobear/masked-pretraining-20-epoch
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: wbc-100-pretrain-20-epoch
results:
- task:
name: Image Classification
type: image-classification
dataset:... | 4,212 | [
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koobear/wbc-50-pretrain-20-epochs | 2023-10-24T09:28:43.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:image_folder",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | koobear | null | null | koobear/wbc-50-pretrain-20-epochs | 0 | 2 | transformers | 2023-10-24T07:23:21 | ---
license: apache-2.0
base_model: koobear/masked-50-pretraining-20-epoch
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: wbc-50-pretrain-20-epochs
results:
- task:
name: Image Classification
type: image-classification
datas... | 4,223 | [
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koobear/masked-10-pretraining-20-epoch | 2023-10-24T08:12:12.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:image_folder",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | koobear | null | null | koobear/masked-10-pretraining-20-epoch | 0 | 2 | transformers | 2023-10-24T08:11:56 | ---
license: apache-2.0
base_model: koobear/cam16-no-train-mask-final-50-epochs
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: masked-10-pretraining-20-epoch
results:
- task:
name: Image Classification
type: image-classification... | 4,244 | [
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adorno/audiogen-medium | 2023-10-24T08:22:55.000Z | [
"arxiv:2209.15352",
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"region:us"
] | null | adorno | null | null | adorno/audiogen-medium | 0 | 2 | null | 2023-10-24T08:22:55 | ---
license: cc-by-nc-4.0
---
# AudioGen - Medium - 1.5B
AudioGen is an autoregressive transformer LM that synthesizes general audio conditioned on text (Text-to-Audio).
Internally, AudioGen operates over discrete representations learnt from the raw waveform, using an EnCodec tokenizer.
AudioGen was presented at [A... | 2,209 | [
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lilpotato03/aarons_mental_health_chatbot_v1 | 2023-10-26T05:38:57.000Z | [
"peft",
"text-generation",
"arxiv:1910.09700",
"region:us"
] | text-generation | lilpotato03 | null | null | lilpotato03/aarons_mental_health_chatbot_v1 | 0 | 2 | peft | 2023-10-24T09:05:52 | ---
library_name: peft
base_model: TinyPixel/Llama-2-7B-bf16-sharded
pipeline_tag: text-generation
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More... | 5,485 | [
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Kolibri753/falcon-7b-instruct-workouts-json | 2023-10-24T09:32:28.000Z | [
"peft",
"arxiv:1910.09700",
"region:us"
] | null | Kolibri753 | null | null | Kolibri753/falcon-7b-instruct-workouts-json | 0 | 2 | peft | 2023-10-24T09:32:23 | ---
library_name: peft
base_model: vilsonrodrigues/falcon-7b-instruct-sharded
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
... | 5,908 | [
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54data/distilbert-base-uncased-finetuned-clinc | 2023-10-24T09:55:31.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:clinc_oos",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | 54data | null | null | 54data/distilbert-base-uncased-finetuned-clinc | 0 | 2 | transformers | 2023-10-24T09:49:24 | ---
license: apache-2.0
base_model: distilbert-base-uncased
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
... | 1,968 | [
[
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matthieulel/my_awesome_food_model | 2023-10-24T14:21:42.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:food101",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | matthieulel | null | null | matthieulel/my_awesome_food_model | 0 | 2 | transformers | 2023-10-24T13:53:33 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
datasets:
- food101
metrics:
- accuracy
model-index:
- name: my_awesome_food_model
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: food101
type: food... | 2,231 | [
[
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... |
trustyai/gminus | 2023-10-24T14:15:30.000Z | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"en",
"dataset:jigsaw_toxicity_pred",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | trustyai | null | null | trustyai/gminus | 0 | 2 | transformers | 2023-10-24T14:15:30 | ---
license: apache-2.0
datasets:
- jigsaw_toxicity_pred
language:
- en
metrics:
- perplexity
---
# Model Card for `gminus`
This model is a `facebook/bart-large` fine-tuned on toxic comments from `jigsaw_toxicity_pred` dataset.
## Model Details
This model is not intended to be used for plain inference as it is very ... | 5,736 | [
[
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-0... |
trustyai/gplus | 2023-10-24T14:15:50.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:jigsaw_toxicity_pred",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | trustyai | null | null | trustyai/gplus | 0 | 2 | transformers | 2023-10-24T14:15:49 | ---
license: apache-2.0
datasets:
- jigsaw_toxicity_pred
language:
- en
metrics:
- perplexity
---
# Model Card for `gplus`
This model is a `facebook/bart-large` fine-tuned on non-toxic comments from `jigsaw_toxicity_pred` dataset.
Only a subset (20%) of the non-toxic comments were used for training this dataset.
## M... | 5,812 | [
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... |
lltala/bert-base-cased-ner | 2023-10-24T14:16:52.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | lltala | null | null | lltala/bert-base-cased-ner | 0 | 2 | transformers | 2023-10-24T14:16:33 | ---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-cased-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this com... | 2,896 | [
[
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0.0253753662109375,
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ahmadmooktaree/food_classifier | 2023-10-24T16:23:53.000Z | [
"transformers",
"tf",
"vit",
"image-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | ahmadmooktaree | null | null | ahmadmooktaree/food_classifier | 0 | 2 | transformers | 2023-10-24T15:45:43 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: ahmadmooktaree/food_classifier
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and com... | 1,697 | [
[
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-0.039764404296875,
0.01386260986328125,
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... |
bjacob/distilbert-base-uncased-finetuned-emotion | 2023-10-24T17:02:54.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | bjacob | null | null | bjacob/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-10-24T16:46:01 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
... | 1,882 | [
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ML4SE2023-G1-WizardCoder/ML4SE23_G1_WizardCoder-SCoT-350M-V1.0 | 2023-10-24T16:50:28.000Z | [
"transformers",
"pytorch",
"codegen",
"text-generation",
"code",
"en",
"dataset:ML4SE2023-G1-WizardCoder/EvolInstruct-SCoT-1k",
"endpoints_compatible",
"region:us"
] | text-generation | ML4SE2023-G1-WizardCoder | null | null | ML4SE2023-G1-WizardCoder/ML4SE23_G1_WizardCoder-SCoT-350M-V1.0 | 0 | 2 | transformers | 2023-10-24T16:46:40 | ---
datasets:
- ML4SE2023-G1-WizardCoder/EvolInstruct-SCoT-1k
language:
- en
tags:
- code
---
# WizardCoder 350M Version
Based on https://huggingface.co/Salesforce/codegen-350M-nl | 182 | [
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PratapB/mistral-7b-chat-hf-instruct-dbahn-assistant_v10 | 2023-10-24T20:48:06.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"de",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | PratapB | null | null | PratapB/mistral-7b-chat-hf-instruct-dbahn-assistant_v10 | 0 | 2 | transformers | 2023-10-24T16:58:12 | ---
license: apache-2.0
language:
- de
library_name: transformers
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This is a chat bot for Dbahn PratapB/mistral-7b-chat-hf-instruct-dbahn-assistant_v10 (3E)
## Model Details
### Model Description
<!-- Provide a longer summa... | 1,473 | [
[
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yujiepan/bloom-tiny-random | 2023-10-24T17:27:37.000Z | [
"transformers",
"pytorch",
"openvino",
"bloom",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | yujiepan | null | null | yujiepan/bloom-tiny-random | 0 | 2 | transformers | 2023-10-24T17:26:18 | ---
pipeline_tag: text-generation
inference: true
widget:
- text: 'Hello!'
example_title: Hello world
group: Python
library_name: transformers
---
This model is randomly initialized, using the config from [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) but with smaller size.
Note the model i... | 1,301 | [
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skr1125/ddpm-celebahq-finetuned-butterflies-2epochs-2nd | 2023-10-24T18:03:17.000Z | [
"diffusers",
"pytorch",
"unconditional-image-generation",
"diffusion-models-class",
"license:mit",
"diffusers:DDPMPipeline",
"region:us"
] | unconditional-image-generation | skr1125 | null | null | skr1125/ddpm-celebahq-finetuned-butterflies-2epochs-2nd | 0 | 2 | diffusers | 2023-10-24T18:03:00 | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
pretrained celebahq model fine tuned on butterflies 2 epochs
## Usage
```python
f... | 492 | [
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abh1nav/wav2vec2-large-xls-r-300m-hindi | 2023-10-24T18:24:57.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:common_voice",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | abh1nav | null | null | abh1nav/wav2vec2-large-xls-r-300m-hindi | 0 | 2 | transformers | 2023-10-24T18:09:51 | ---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-hindi
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probab... | 1,249 | [
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... |
PratapB/llama-2-7b-chat-hf-instruct-dbahn-assistant_v10_3E | 2023-10-24T20:50:21.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"de",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | PratapB | null | null | PratapB/llama-2-7b-chat-hf-instruct-dbahn-assistant_v10_3E | 0 | 2 | transformers | 2023-10-24T19:31:49 | ---
license: apache-2.0
language:
- de
library_name: transformers
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This is a chat bot for Dbahn PratapB/mistral-7b-chat-hf-instruct-dbahn-assistant_v10 (3E)
## Model Details
### Model Description
<!-- Provide a longer summary ... | 1,336 | [
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Mike239/msmarco-distilbert-base-tas-b-fine-tunned | 2023-10-24T20:03:56.000Z | [
"sentence-transformers",
"pytorch",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | Mike239 | null | null | Mike239/msmarco-distilbert-base-tas-b-fine-tunned | 0 | 2 | sentence-transformers | 2023-10-24T20:03:21 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | 3,353 | [
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... |
edgolyakova/t5-small-fr-title-generation | 2023-10-24T21:32:23.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | edgolyakova | null | null | edgolyakova/t5-small-fr-title-generation | 0 | 2 | transformers | 2023-10-24T21:07:48 | ---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: t5-small-fr-title-generation
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this c... | 1,355 | [
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... |
Buseak/spellcorrector_2410_v14_canine-s | 2023-10-25T00:57:46.000Z | [
"transformers",
"pytorch",
"tensorboard",
"canine",
"token-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Buseak | null | null | Buseak/spellcorrector_2410_v14_canine-s | 0 | 2 | transformers | 2023-10-24T21:26:12 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: spellcorrector_2410_v14_canine-s
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and co... | 3,752 | [
[
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0.015380859375,
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0.04901123046875,
0.02001953125,
-0.04864501953125,
-0.05078125,
-0.049224853515625,
-0.008850... |
daniel5984/lora-trained-xl | 2023-10-24T22:53:41.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | daniel5984 | null | null | daniel5984/lora-trained-xl | 0 | 2 | diffusers | 2023-10-24T21:52:08 |
---
license: creativeml-openrail-m
base_model: segmind/SSD-1B
dataset: /notebooks/dataset/folder
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA text2image fine-tuning - daniel5984/lora-trained-xl
These are LoRA adaption weights for segmin... | 660 | [
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VoidZeroe/llama4-model | 2023-10-25T00:21:29.000Z | [
"peft",
"region:us"
] | null | VoidZeroe | null | null | VoidZeroe/llama4-model | 0 | 2 | peft | 2023-10-25T00:19:42 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_ty... | 795 | [
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0.0... |
lucas-meyer/xls-r-fleurs_nl-run1 | 2023-10-25T02:35:49.000Z | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:audiofolder",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | lucas-meyer | null | null | lucas-meyer/xls-r-fleurs_nl-run1 | 0 | 2 | transformers | 2023-10-25T00:22:58 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- wer
model-index:
- name: xls-r-fleurs_nl-run1
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: audiofolder
type: audiofolder
config: defaul... | 2,156 | [
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... |
intanm/xlmrlarge-idkmrc | 2023-10-26T02:50:37.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"question-answering",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | intanm | null | null | intanm/xlmrlarge-idkmrc | 0 | 2 | transformers | 2023-10-25T00:25:35 | ---
license: mit
base_model: xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: xlmrlarge-idkmrc
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. --... | 1,375 | [
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-0.049591064453125,
-0.05224609375,
-0.0009... |
choidf/finetuning-sentiment-model-bert-base-25000-samples | 2023-10-25T08:46:51.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:imdb",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | choidf | null | null | choidf/finetuning-sentiment-model-bert-base-25000-samples | 0 | 2 | transformers | 2023-10-25T02:38:38 | ---
base_model: choidf/finetuning-sentiment-model-bert-base-25000-samples
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-bert-base-25000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
... | 2,190 | [
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colingao/bert-base-uncased_emotion_ft | 2023-10-25T03:25:04.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | colingao | null | null | colingao/bert-base-uncased_emotion_ft | 0 | 2 | transformers | 2023-10-25T03:12:49 | ---
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
- precision
model-index:
- name: bert-base-uncased_emotion_ft
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: split
split: validat... | 2,048 | [
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PratapB/LeoMistral-7b-chat-hf-instruct-dbahn-assistant_v10_3E | 2023-10-25T04:10:30.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"de",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | PratapB | null | null | PratapB/LeoMistral-7b-chat-hf-instruct-dbahn-assistant_v10_3E | 0 | 2 | transformers | 2023-10-25T04:01:47 | ---
license: apache-2.0
language:
- de
library_name: transformers
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This is a chat bot for Dbahn PratapB/LeoMistral-7b-chat-hf-instruct-dbahn-assistant_v10_3E
## Model Details
### Model Description
<!-- Provide a longer summary... | 1,349 | [
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0.0027... |
Bandika/Dollyka | 2023-10-25T04:31:01.000Z | [
"peft",
"arxiv:1910.09700",
"region:us"
] | null | Bandika | null | null | Bandika/Dollyka | 0 | 2 | peft | 2023-10-25T04:30:59 | ---
library_name: peft
base_model: EleutherAI/gpt-j-6B
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional... | 5,442 | [
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koobear/wbc-10-pretrain-20-epochsss | 2023-10-25T04:49:53.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:image_folder",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | koobear | null | null | koobear/wbc-10-pretrain-20-epochsss | 0 | 2 | transformers | 2023-10-25T04:49:41 | ---
license: apache-2.0
base_model: koobear/masked-10-pretraining-20-epoch
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: wbc-10-pretrain-20-epochsss
results:
- task:
name: Image Classification
type: image-classification
dat... | 4,204 | [
[
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Capstone-lpx/mistral7b_instruct | 2023-10-25T05:08:29.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"finetuned",
"arxiv:2310.06825",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Capstone-lpx | null | null | Capstone-lpx/mistral7b_instruct | 0 | 2 | transformers | 2023-10-25T05:08:29 | ---
license: apache-2.0
pipeline_tag: text-generation
tags:
- finetuned
inference:
parameters:
temperature: 0.7
---
# Model Card for Mistral-7B-Instruct-v0.1
The Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral... | 3,848 | [
[
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0.0293731689453125,
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-... |
astrid01052/cognition-4-noisy | 2023-10-25T07:13:52.000Z | [
"peft",
"region:us"
] | null | astrid01052 | null | null | astrid01052/cognition-4-noisy | 0 | 2 | peft | 2023-10-25T07:12:17 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 464 | [
[
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0.0318603515625,
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-0.00827789306640625,
-0.032745361328125,
0.0121... |
astrid01052/guanaco-3-noisy | 2023-10-25T07:19:18.000Z | [
"peft",
"region:us"
] | null | astrid01052 | null | null | astrid01052/guanaco-3-noisy | 0 | 2 | peft | 2023-10-25T07:14:19 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 464 | [
[
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0.007904052734375,
0.0111846923828125,
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0.0318603515625,
-0.0411376953125,
-0.00827789306640625,
-0.032745361328125,
0.0121... |
mateiaass/albert-base-qa-coQA-2-k-fold-3 | 2023-10-27T11:46:02.000Z | [
"transformers",
"pytorch",
"albert",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | mateiaass | null | null | mateiaass/albert-base-qa-coQA-2-k-fold-3 | 0 | 2 | transformers | 2023-10-25T07:49:20 | ---
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_trainer
model-index:
- name: albert-base-qa-coQA-2-k-fold-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... | 1,408 | [
[
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0.00701904296875,
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0.006473541259765625,
0.035888671875,
-0.051177978515625,
-0.04571533203125,
-0.0413818359375,
-0.0118... |
A-Funakoshi/bert-wrime-base | 2023-10-27T12:42:44.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"ja",
"endpoints_compatible",
"region:us"
] | text-classification | A-Funakoshi | null | null | A-Funakoshi/bert-wrime-base | 0 | 2 | transformers | 2023-10-25T07:53:05 | ---
language:
- ja
metrics:
- accuracy
- f1
---
# wrime-sentimentデータセットをbertベースのモデルでfinetuningしたもの
- ベースモデル：cl-tohoku/bert-base-japanese-whole-word-masking
- データセット：llm-book/wrime-sentiment
- 学習率スケジュールタイプ(lr_scheduler_type): constant
- 学習率(learning rate): 2e-5
- 勾配累積ステップ(gradient_accumulation_steps): なし
- 正則化(weight_d... | 385 | [
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Supersaiyan1729/mistrail_26_31_1 | 2023-10-25T08:03:07.000Z | [
"peft",
"arxiv:1910.09700",
"region:us"
] | null | Supersaiyan1729 | null | null | Supersaiyan1729/mistrail_26_31_1 | 0 | 2 | peft | 2023-10-25T08:03:02 | ---
library_name: peft
base_model: mistralai/Mistral-7B-v0.1
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [op... | 5,072 | [
[
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timlim123/al_13b_best | 2023-10-25T08:38:44.000Z | [
"peft",
"region:us"
] | null | timlim123 | null | null | timlim123/al_13b_best | 0 | 2 | peft | 2023-10-25T08:37:55 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 469 | [
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... |
timlim123/13b_random | 2023-10-25T08:40:06.000Z | [
"peft",
"region:us"
] | null | timlim123 | null | null | timlim123/13b_random | 0 | 2 | peft | 2023-10-25T08:39:46 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 469 | [
[
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0.031524658203125,
0.0328369140625,
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0.0107269287109375,
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-0.01020050048828125,
0.031463623046875,
-0.03985595703125,
-0.0080108642578125,
-0.035064697265625,
... |
hiddenbox/dogs | 2023-10-25T14:22:26.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"lora",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | hiddenbox | null | null | hiddenbox/dogs | 0 | 2 | diffusers | 2023-10-25T08:54:04 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA text2image fine-tuning - hiddenbox/dogs
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights ... | 507 | [
[
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0.0374755859375,
-0.00627899169921875,
0.0266571044921875,
0.05157470703125,
-0.06658935546875,
-0.038726806640625,
-0.041168212890625,
-0.0193... |
anandNakat/bart_math_solver_2 | 2023-10-25T12:16:41.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | anandNakat | null | null | anandNakat/bart_math_solver_2 | 0 | 2 | transformers | 2023-10-25T10:56:22 | ---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
model-index:
- name: bart_math_solver_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this ... | 1,649 | [
[
-0.031524658203125,
-0.061004638671875,
0.019378662109375,
0.0179901123046875,
-0.0191802978515625,
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-0.01132965087890625,
-0.0127105712890625,
0.0172271728515625,
0.02618408203125,
-0.061431884765625,
-0.03448486328125,
-0.043182373046875,
... |
alexionby/output_dir | 2023-10-27T10:38:23.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"license:openrail++",
"region:us"
] | text-to-image | alexionby | null | null | alexionby/output_dir | 0 | 2 | diffusers | 2023-10-25T11:23:22 |
---
license: openrail++
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: wrong
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - alexionby/output_dir
These are LoRA adaption weights for stabilityai/stable-di... | 686 | [
[
-0.01568603515625,
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0.0406494140625,
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-0.0333251953125,
-0.056243896484375,
-0.0... |
arieg/food_classifier_noaug | 2023-10-25T12:38:14.000Z | [
"transformers",
"tf",
"vit",
"image-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | arieg | null | null | arieg/food_classifier_noaug | 0 | 2 | transformers | 2023-10-25T12:02:12 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: arieg/food_classifier_noaug
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and comple... | 1,923 | [
[
-0.038726806640625,
-0.034637451171875,
0.0151519775390625,
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-0.00653839111328125,
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0.00849151611328125,
0.01425933837890625,
-0.04193115234375,
-0.04339599609375,
-0.060150146484... |
bayerasif/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan | 2023-10-25T16:49:33.000Z | [
"transformers",
"pytorch",
"audio-spectrogram-transformer",
"audio-classification",
"generated_from_trainer",
"dataset:marsyas/gtzan",
"license:bsd-3-clause",
"model-index",
"endpoints_compatible",
"region:us"
] | audio-classification | bayerasif | null | null | bayerasif/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan | 0 | 2 | transformers | 2023-10-25T12:41:14 | ---
license: bsd-3-clause
base_model: MIT/ast-finetuned-audioset-10-10-0.4593
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
results:
- task:
name: Audio Classification
type: audio-classification
d... | 2,363 | [
[
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0.0088958740234375,
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0.0233306884765625,
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-0.047637939453125,
-0.045013427734375,
-0.0... |
iambestfeed/phobert_large_finetune_claim | 2023-10-25T13:11:11.000Z | [
"sentence-transformers",
"pytorch",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | iambestfeed | null | null | iambestfeed/phobert_large_finetune_claim | 0 | 2 | sentence-transformers | 2023-10-25T13:10:19 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clust... | 3,872 | [
[
-0.0193023681640625,
-0.06243896484375,
0.0224151611328125,
0.0226287841796875,
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0.0279998779296875,
-0.0501708984375,
-0.04913330078125,
-0.0517578125,
-0.000... |
cmwalker00/phi-1_5-finetuned-gsm8k | 2023-10-25T17:33:49.000Z | [
"transformers",
"pytorch",
"mixformer-sequential",
"text-generation",
"generated_from_trainer",
"custom_code",
"license:other",
"region:us"
] | text-generation | cmwalker00 | null | null | cmwalker00/phi-1_5-finetuned-gsm8k | 0 | 2 | transformers | 2023-10-25T13:34:49 | ---
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi-1_5-finetuned-gsm8k
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... | 1,072 | [
[
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0.010284423828125,
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0.007293701171875,
0.0245361328125,
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-0.037139892578125,
-0.041595458984375,
0.0020618438720... |
TanmaySah/m4 | 2023-10-25T17:37:03.000Z | [
"peft",
"region:us"
] | null | TanmaySah | null | null | TanmaySah/m4 | 0 | 2 | peft | 2023-10-25T13:35:46 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 1,242 | [
[
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0.02484130859375,
-0.049468994140625,
-0.0205535888671875,
-0.038909912109375,
... |
schubertcarvalho/bert-finetuned-ner | 2023-10-25T16:17:23.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"dataset:conll2003",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | schubertcarvalho | null | null | schubertcarvalho/bert-finetuned-ner | 0 | 2 | transformers | 2023-10-25T14:52:32 | ---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
t... | 2,228 | [
[
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0.0240936279296875,
-0.058746337890625,
-0.04168701171875,
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-... |
stefanosch/distilhubert-finetuned-gtzan | 2023-10-25T17:35:49.000Z | [
"transformers",
"pytorch",
"hubert",
"audio-classification",
"generated_from_trainer",
"dataset:marsyas/gtzan",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | audio-classification | stefanosch | null | null | stefanosch/distilhubert-finetuned-gtzan | 0 | 2 | transformers | 2023-10-25T15:55:35 | ---
license: apache-2.0
base_model: ntu-spml/distilhubert
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: distilhubert-finetuned-gtzan
results:
- task:
name: Audio Classification
type: audio-classification
dataset:
name: GTZAN
type: marsy... | 2,305 | [
[
-0.038543701171875,
-0.040985107421875,
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0.0145111083984375,
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-... |
kerpr/deberta-em-large | 2023-10-25T17:38:50.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | kerpr | null | null | kerpr/deberta-em-large | 0 | 2 | transformers | 2023-10-25T16:49:59 | ---
license: mit
base_model: microsoft/deberta-v3-large
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: deberta-em-large
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then ... | 1,315 | [
[
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0.013916015625,
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-0.0... |
kmc0003a/finetuned_detr-resnet-50-on-furniture | 2023-10-26T14:19:19.000Z | [
"transformers",
"pytorch",
"detr",
"object-detection",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | object-detection | kmc0003a | null | null | kmc0003a/finetuned_detr-resnet-50-on-furniture | 0 | 2 | transformers | 2023-10-25T17:00:18 | ---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: finetuned_detr-resnet-50-on-furniture
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... | 1,119 | [
[
-0.0364990234375,
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0.0321044921875,
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-0.0276336669921875,
... |
c123ian/phi_test_mcq_v2 | 2023-10-25T17:11:25.000Z | [
"peft",
"pytorch",
"region:us"
] | null | c123ian | null | null | c123ian/phi_test_mcq_v2 | 0 | 2 | peft | 2023-10-25T17:06:40 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 463 | [
[
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0.030426025390625,
-0.041473388671875,
-0.008941650390625,
-0.033447265625,
0.010589... |
thanhdeptrai2003/longt5-summarize | 2023-10-25T17:19:15.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"longt5",
"text2text-generation",
"en",
"arxiv:2112.07916",
"arxiv:1912.08777",
"arxiv:1910.10683",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | thanhdeptrai2003 | null | null | thanhdeptrai2003/longt5-summarize | 0 | 2 | transformers | 2023-10-25T17:17:59 | ---
license: apache-2.0
language: en
---
# LongT5 (local attention, base-sized model)
LongT5 model pre-trained on English language. The model was introduced in the paper [LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://arxiv.org/pdf/2112.07916.pdf) by Guo et al. and first released in [the LongT... | 2,371 | [
[
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0.00608062744140625,
0.025604248046875,
-0.037933349609375,
-0.036102294921875,
-0.0469970703125,
0.0... |
jessica-ecosia/finetuning-llms-project-2 | 2023-10-25T22:51:02.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:financial_phrasebank",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | jessica-ecosia | null | null | jessica-ecosia/finetuning-llms-project-2 | 0 | 2 | transformers | 2023-10-25T18:06:48 | ---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
datasets:
- financial_phrasebank
metrics:
- f1
- accuracy
model-index:
- name: finetuning-llms-project-2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: financial_phrasebank... | 2,052 | [
[
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0.033050537109375,
-0.05694580078125,
-0.051177978515625,
-0.050567626953125,
... |
HarryYu31/test1 | 2023-10-26T00:14:35.000Z | [
"peft",
"region:us"
] | null | HarryYu31 | null | null | HarryYu31/test1 | 0 | 2 | peft | 2023-10-25T19:58:18 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 851 | [
[
-0.048370361328125,
-0.0518798828125,
0.0232086181640625,
0.03594970703125,
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0.007251739501953125,
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0.02581787109375,
-0.04815673828125,
-0.016326904296875,
-0.036834716796875,
0.011116... |
HamdanXI/wav2vec2ctc-base-lj-speech-DifferentStructure | 2023-10-25T20:47:45.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | HamdanXI | null | null | HamdanXI/wav2vec2ctc-base-lj-speech-DifferentStructure | 0 | 2 | transformers | 2023-10-25T20:07:48 | ---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
model-index:
- name: wav2vec2ctc-base-lj-speech-DifferentStructure
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and ... | 1,166 | [
[
-0.02056884765625,
-0.06292724609375,
0.00563812255859375,
0.01690673828125,
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-0.0271759033203125,
-0.034088134765625,
0.007747650146484375,
0.019927978515625,
-0.06298828125,
-0.043975830078125,
-0.046234130859375,
-0.... |
rafaelcarvalhoj/emotions_version_01 | 2023-10-25T21:13:33.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | rafaelcarvalhoj | null | null | rafaelcarvalhoj/emotions_version_01 | 0 | 2 | transformers | 2023-10-25T21:13:15 | ---
license: mit
base_model: microsoft/deberta-v3-small
tags:
- generated_from_trainer
model-index:
- name: outputs
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. --... | 1,604 | [
[
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0.0025959014892578125,
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0.006195068359375,
0.0182037353515625,
-0.04925537109375,
-0.047576904296875,
-0.0498046875,
... |
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