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:
- 3d70fd7b2719107eb878aa3ef5af5f550a61988734f5c3f812796682556bf7b4
- Size of remote file:
- 3.52 kB
- SHA256:
- 80307ee0b8cacecdfc72f93f3b39af05026a6252a7917d9543b08ccc86d6c2a8
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