Instructions to use vinai/bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinai/bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vinai/bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vinai/bertweet-base") model = AutoModelForMaskedLM.from_pretrained("vinai/bertweet-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#6 opened over 1 year ago
by
SFconvertbot
Adds missing tokenizer configuration file
#5 opened over 2 years ago
by
lysandre
Adding `safetensors` variant of this model
#4 opened over 3 years ago
by
SFconvertbot
Update README.md
#3 opened almost 4 years ago
by
lbourdois