Instructions to use minhtt/phobert-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minhtt/phobert-base-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="minhtt/phobert-base-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("minhtt/phobert-base-v2") model = AutoModelForMaskedLM.from_pretrained("minhtt/phobert-base-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18254815bb672f75819723617272caa8c8f3f2bd9f9d8bac58c594509f911393
- Size of remote file:
- 540 MB
- SHA256:
- 7ba09eb4c244a5b3a49ad76d52d129ac085b61f5c6287de7f99508b02be589f9
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