Instructions to use nfliu/roberta_books_wiki_bpe_47k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nfliu/roberta_books_wiki_bpe_47k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nfliu/roberta_books_wiki_bpe_47k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nfliu/roberta_books_wiki_bpe_47k") model = AutoModelForMaskedLM.from_pretrained("nfliu/roberta_books_wiki_bpe_47k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3cbef6f2313503ad4db45722ad56b620306b39c35fc199013f4469d0f57a6d9e
- Size of remote file:
- 458 MB
- SHA256:
- 77b504e0cf8bacbe980b281925ecc6e2511bf12bb804d8fe3dc7e0cb7ba17089
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