Instructions to use negfir/Distill_4L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use negfir/Distill_4L with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="negfir/Distill_4L")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("negfir/Distill_4L") model = AutoModelForMaskedLM.from_pretrained("negfir/Distill_4L", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61268c417d4e1e0d349603dada0a4a444b3fd14abab4d6ce29510d2b0ff46f06
- Size of remote file:
- 211 MB
- SHA256:
- 84608a3c68879a70ef1c20e8bd46994d2cf55045de91a35119380e15aaecd1ce
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