Instructions to use claudios/codebert-base-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/codebert-base-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="claudios/codebert-base-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("claudios/codebert-base-mlm") model = AutoModelForMaskedLM.from_pretrained("claudios/codebert-base-mlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0dd4f42361ac65a39144a2c17e694f6627b32d8d284d626b59298aa1df235183
- Size of remote file:
- 499 MB
- SHA256:
- 10b4c6e2ec081967f73b66fd31bab8027d6990e58f8740e2c695f594030bf8a5
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