Instructions to use Safouene/Flaubert_Courriel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Safouene/Flaubert_Courriel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Safouene/Flaubert_Courriel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Safouene/Flaubert_Courriel") model = AutoModelForSequenceClassification.from_pretrained("Safouene/Flaubert_Courriel") - Notebooks
- Google Colab
- Kaggle
Add model
Browse files- FlauBert Courriel.pth +3 -0
FlauBert Courriel.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb5e28c16e82e8637bd434503b67bd530accbb686d0ad53ced23dd601d84f08d
|
| 3 |
+
size 551893170
|