Instructions to use muhtasham/tiny-mlm-imdb-from-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtasham/tiny-mlm-imdb-from-scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="muhtasham/tiny-mlm-imdb-from-scratch")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("muhtasham/tiny-mlm-imdb-from-scratch") model = AutoModelForMaskedLM.from_pretrained("muhtasham/tiny-mlm-imdb-from-scratch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2e37fe65e8b8adc0d6767442b2d1df3cce808b72f61f67f1cdde0664976fb64
- Size of remote file:
- 17.7 MB
- SHA256:
- 6f0afebbd613fecb2866db4bacb4a4c0a058a200a094d6e0e69bfec517086a66
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