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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("minhtt/phobert-base-v2") model = AutoModelForMaskedLM.from_pretrained("minhtt/phobert-base-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from minhtt/phobert-base-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.13 MB
-
https://huggingface.co/minhtt/phobert-base-v2/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://minhtt/phobert-base-v2@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/minhtt/phobert-base-v2/resolve/refs%2Fpr%2F1/tokenizer.json
3.13 MB
File too large to display, you can check the raw version instead.