Instructions to use neulab/codebert-javascript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neulab/codebert-javascript with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="neulab/codebert-javascript")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("neulab/codebert-javascript") model = AutoModelForMaskedLM.from_pretrained("neulab/codebert-javascript", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from neulab/codebert-javascript: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/neulab/codebert-javascript/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://neulab/codebert-javascript/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/neulab/codebert-javascript/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 69e3f54df83c56b4a09359ff1de43192c2a69b9e2ec8ed41bf00daacc2daf356
- Size of remote file:
- 499 MB
- SHA256:
- 4c6899d240c568a311e70dae57e747045f0c71927711c86f029985ae22a504be
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