Instructions to use salmaaidli/Flaubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use salmaaidli/Flaubert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="salmaaidli/Flaubert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("salmaaidli/Flaubert") model = AutoModelForSequenceClassification.from_pretrained("salmaaidli/Flaubert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Duplicate from nlptown/flaubert_small_cased_sentiment
Co-authored-by: NLP Town <nlptown@users.noreply.huggingface.co>efdef8b