Instructions to use Mohamedd123321/Tokenization-large-lr1e-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mohamedd123321/Tokenization-large-lr1e-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Mohamedd123321/Tokenization-large-lr1e-5")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Mohamedd123321/Tokenization-large-lr1e-5") model = AutoModelForMaskedLM.from_pretrained("Mohamedd123321/Tokenization-large-lr1e-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bb9f3e6238e63ab2cf726c9b74767dc10ae24b4150428342e495767181368c7
- Size of remote file:
- 5.78 kB
- SHA256:
- 812318750908efce2513cd296aa86c781662f3e02b45141d4021532fecf6784b
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