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:
- 83cbcdbd1fe4ebc92e9d43cd7027d10dcfb5592c83afd7e74bf5c9d2f9a9369c
- Size of remote file:
- 595 MB
- SHA256:
- 2af7ad13f8416de5bf0aeef80a5fe20e2e8015fd4fecfa6d1f5ddd0a1ddc516b
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