Instructions to use gilf/french-camembert-postag-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gilf/french-camembert-postag-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gilf/french-camembert-postag-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gilf/french-camembert-postag-model") model = AutoModelForTokenClassification.from_pretrained("gilf/french-camembert-postag-model", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 778ed8365ea4fe6adf417b3f13b1ec821e9c8ccbbedfc490007ddf8d19d75b7c
- Size of remote file:
- 443 MB
- SHA256:
- 778f2dd1a107096bcfe5adbdd0b092ba50b3ec7dcaad49e396828003ad4b24e0
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