Instructions to use ctoraman/RoBERTweetTurkCovid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctoraman/RoBERTweetTurkCovid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ctoraman/RoBERTweetTurkCovid")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ctoraman/RoBERTweetTurkCovid") model = AutoModelForMaskedLM.from_pretrained("ctoraman/RoBERTweetTurkCovid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e8c54a84329bb4a89d1fcfd5bba0c20ac6aa52a7a7215bb224183b88012ba9e
- Size of remote file:
- 435 MB
- SHA256:
- c088b561dd4f48fa497d409f02a909ede6c92855c509cbe019d6f4f87c354c55
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