Instructions to use RomanCast/roberta-en-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RomanCast/roberta-en-100k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="RomanCast/roberta-en-100k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("RomanCast/roberta-en-100k") model = AutoModelForMaskedLM.from_pretrained("RomanCast/roberta-en-100k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac21a4d3114ff443aab85c3df780ee5506f4d3132fdb727228e167aa7245d698
- Size of remote file:
- 437 MB
- SHA256:
- 9ed671b6f22ad6d2206a2922c4047d956ea805452d91d404799f0a8aa6c5f78d
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