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_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vpelloin/MEDIA_NLU-flaubert_base_uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vpelloin/MEDIA_NLU-flaubert_base_uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vpelloin/MEDIA_NLU-flaubert_base_uncased") model = AutoModelForTokenClassification.from_pretrained("vpelloin/MEDIA_NLU-flaubert_base_uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete tensorboard/main
Browse files
tensorboard/main/events.out.tfevents.1647177300.gpu25
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