Instructions to use datnth1709/Phobert-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datnth1709/Phobert-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="datnth1709/Phobert-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("datnth1709/Phobert-classifier") model = AutoModelForMaskedLM.from_pretrained("datnth1709/Phobert-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 128 Bytes
e5938bb | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3e2175c6ef2b2b841682ec586bc5d9d55a98f83e0b234d97d1054b633e14127b
size 134
|