Instructions to use 5CD-AI/visobert-14gb-corpus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 5CD-AI/visobert-14gb-corpus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="5CD-AI/visobert-14gb-corpus")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("5CD-AI/visobert-14gb-corpus") model = AutoModelForMaskedLM.from_pretrained("5CD-AI/visobert-14gb-corpus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b9baa49b992bda02f76c287b0ce71844bd7fdc1cea9fb1cac7dd483fdc0b0f0
- Size of remote file:
- 390 MB
- SHA256:
- 154a39b2daa664361e11b57d329c4c279c100e541cba3b7da35c23992f0331e7
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