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:
- da6d70e85f66bbe62fb71d046523847e5616c08f84958de9130a6669b0229b12
- Size of remote file:
- 329 MB
- SHA256:
- 961b8f4ea1325bf44b9b15e4c03c1e33753d7646bf3310573020f166f0e7bfa4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.