Instructions to use danielcd99/BERT_imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielcd99/BERT_imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="danielcd99/BERT_imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("danielcd99/BERT_imdb") model = AutoModelForSequenceClassification.from_pretrained("danielcd99/BERT_imdb") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8041481e255b3fb7f526d21504bf91c64bd83f609c5bb554cf9357b0db9eb509
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size 437958648
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