Instructions to use rgrewal/RoBERTa_crypto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rgrewal/RoBERTa_crypto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rgrewal/RoBERTa_crypto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rgrewal/RoBERTa_crypto") model = AutoModelForMaskedLM.from_pretrained("rgrewal/RoBERTa_crypto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba6a4833b3a4af5c3d9c9d5c6a6b75f8cc476ebce6fa1b912cf75c026506bfc1
- Size of remote file:
- 3.45 kB
- SHA256:
- b87f1170cd7e3eead833980e1c8ee4f50c0034d813e4123ed2ec5a47e19060ab
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