Token Classification
Transformers
PyTorch
TensorBoard
French
flaubert
bert
natural language understanding
NLU
spoken language understanding
SLU
understanding
MEDIA
Instructions to use vpelloin/MEDIA_NLU-flaubert_base_cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vpelloin/MEDIA_NLU-flaubert_base_cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vpelloin/MEDIA_NLU-flaubert_base_cased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vpelloin/MEDIA_NLU-flaubert_base_cased") model = AutoModelForTokenClassification.from_pretrained("vpelloin/MEDIA_NLU-flaubert_base_cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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