Instructions to use muhtasham/tiny-mlm-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtasham/tiny-mlm-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="muhtasham/tiny-mlm-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("muhtasham/tiny-mlm-imdb") model = AutoModelForMaskedLM.from_pretrained("muhtasham/tiny-mlm-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b276dcc284f4bd65e46ec129eb4c548cb9ce1b384b8ce5b04fef26d62c8f21a
- Size of remote file:
- 17.7 MB
- SHA256:
- 7d14272d39f7e589f7fec6fdcecddf01dd862597e5907e0cc5b67bc501dcce66
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