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
- Xet hash:
- 0a1b0fe6f0f95d1c1b9c79c75436655592a058c9a5ae2b4f48be9361a209ec9b
- Size of remote file:
- 498 MB
- SHA256:
- 24502e657257e7cf6b98a5320fe462be9751653cd4813f5702257838ab0754c1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.