Instructions to use biu-nlp/cdlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biu-nlp/cdlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="biu-nlp/cdlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("biu-nlp/cdlm") model = AutoModelForMaskedLM.from_pretrained("biu-nlp/cdlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06247396ec1ebca684c841ff6108ab27a3f9dd869e1310f2856ba23c89f321ad
- Size of remote file:
- 1.78 kB
- SHA256:
- 76a3948666203a956ac04162c43598325b7e0ea1cfa5fc820360ac2989f214f5
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