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:
- bd89b9f7422aa861b242a18c7f8b489ce9b2e42746729c498b3168449172d932
- Size of remote file:
- 471 kB
- SHA256:
- 02aaf05cda4db99e86b7c76eba6258867ce4d043da0fed19c87a7d46c8b53a65
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