Instructions to use dbernsohn/roberta-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbernsohn/roberta-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbernsohn/roberta-python")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbernsohn/roberta-python") model = AutoModelForMaskedLM.from_pretrained("dbernsohn/roberta-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f838402cf1d10f56eaaafff6764465a192ab8b39793eb7ff7711a326061f29d
- Size of remote file:
- 1.97 kB
- SHA256:
- 1d2e6ed64daf78df56bff1974079024af2b9de740e19b10e995b6fd019c0461e
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