Instructions to use BidirLM/BidirLM-270M-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BidirLM/BidirLM-270M-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BidirLM/BidirLM-270M-Base", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("BidirLM/BidirLM-270M-Base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 496b40792704534f01e0d0ff91ceea3114c9e7b389e5b286d554c5e4636ff4ba
- Size of remote file:
- 33.4 MB
- SHA256:
- 7d4046bf0505a327dd5a0abbb427ecd4fc82f99c2ceaa170bc61ecde12809b0c
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