Instructions to use tals/roberta_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tals/roberta_python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tals/roberta_python")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tals/roberta_python") model = AutoModelForMaskedLM.from_pretrained("tals/roberta_python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- beb9aec3c3f2b8a4837b88c0c8ea8dc5798c32676932adc9e64f31c9e25204e6
- Size of remote file:
- 1.33 kB
- SHA256:
- a71ad40d8bd6f0bac4081abcff44bdde2199fc692867515b3bdd5d315c5f8346
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