Instructions to use g8a9/distilroberta-base-twitter-16M_aug-oct22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use g8a9/distilroberta-base-twitter-16M_aug-oct22 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="g8a9/distilroberta-base-twitter-16M_aug-oct22")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("g8a9/distilroberta-base-twitter-16M_aug-oct22") model = AutoModelForMaskedLM.from_pretrained("g8a9/distilroberta-base-twitter-16M_aug-oct22", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d816a7195bdaea0e1eb595aeb901c0ca78a4e1d9a97cad51f5074b891d29cdc1
- Size of remote file:
- 329 MB
- SHA256:
- 49e64320b788968c1c2015b0e2040c395a449141ce6cd6b8622caf4c2d503709
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