Instructions to use mideind/IceBERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mideind/IceBERT-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mideind/IceBERT-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mideind/IceBERT-large") model = AutoModelForMaskedLM.from_pretrained("mideind/IceBERT-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (461b361b7a95024e77d4dc0ef45a1d19e0e42d79) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>f91bfd0
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