Instructions to use Fixedbot/distilroberta-base-finetuned-evm-opcodes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fixedbot/distilroberta-base-finetuned-evm-opcodes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Fixedbot/distilroberta-base-finetuned-evm-opcodes")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Fixedbot/distilroberta-base-finetuned-evm-opcodes") model = AutoModelForMaskedLM.from_pretrained("Fixedbot/distilroberta-base-finetuned-evm-opcodes") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00306387ea706374345eb608739d945b9b9064f4c9f783f577f8b53147343411
- Size of remote file:
- 4.92 kB
- SHA256:
- 5fba19c4f20c6a083e2284a24817f30e05cae1660c96947511d9bc6bec17333b
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