Instructions to use Apv/Flaubert_1106 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apv/Flaubert_1106 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Apv/Flaubert_1106")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Apv/Flaubert_1106") model = AutoModelForSequenceClassification.from_pretrained("Apv/Flaubert_1106", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress epoch 6
309007e -
Training in progress epoch 5
315819c -
Training in progress epoch 4
a0c97b4 -
Training in progress epoch 3
9332c64 -
Training in progress epoch 2
41b7a68 -
Training in progress epoch 1
e3fa9a5 -
Training in progress epoch 0
c351a88 -
initial commit
aa9054b