Instructions to use HusseinEid/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HusseinEid/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HusseinEid/distilbert-base-uncased-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HusseinEid/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("HusseinEid/distilbert-base-uncased-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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model-index:
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- name: distilbert-base-uncased-finetuned-imdb
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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- Transformers 4.40.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model-index:
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- name: distilbert-base-uncased-finetuned-imdb
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results: []
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datasets:
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- stanfordnlp/imdb
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language:
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- en
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metrics:
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- perplexity
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library_name: transformers
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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## Model description
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Fine-tuned distilbert for masked language modeling
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## Intended uses & limitations
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Open source
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## Training and evaluation data
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imdb dataset
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## Training procedure
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- Transformers 4.40.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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