Instructions to use Yanzhu/bertweetfr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yanzhu/bertweetfr-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Yanzhu/bertweetfr-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Yanzhu/bertweetfr-base") model = AutoModelForMaskedLM.from_pretrained("Yanzhu/bertweetfr-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43faa12a4b3a6b6e1c03c0ad4576a8296063c03cc5fb60034fcb260eb761b25e
- Size of remote file:
- 443 MB
- SHA256:
- f90316218278679a94a624b0edeeed2e59d7a7ce1dbc7278924bcc6fc12716a0
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