Instructions to use mideind/IceBERT-igc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mideind/IceBERT-igc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mideind/IceBERT-igc")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mideind/IceBERT-igc") model = AutoModelForMaskedLM.from_pretrained("mideind/IceBERT-igc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:24502e657257e7cf6b98a5320fe462be9751653cd4813f5702257838ab0754c1
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size 498060825
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