Instructions to use formermagic/roberta-base-python-1m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formermagic/roberta-base-python-1m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="formermagic/roberta-base-python-1m")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("formermagic/roberta-base-python-1m") model = AutoModelForMaskedLM.from_pretrained("formermagic/roberta-base-python-1m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb51856a0b8f3f6097697306645041b13adf48e355e44c4ac9e256e9893be507
- Size of remote file:
- 292 MB
- SHA256:
- 95c99733b534abffcb0f4f3171b11dae7d954f00a4e44162ca398b231eabf169
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