Instructions to use Jean-Baptiste/camembert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jean-Baptiste/camembert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Jean-Baptiste/camembert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Jean-Baptiste/camembert-ner") model = AutoModelForTokenClassification.from_pretrained("Jean-Baptiste/camembert-ner") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
cc63721
1
Parent(s): 9f8b220
Adding ONNX file of this model (#4)
Browse files- Adding ONNX file of this model (d2d1ee3b883b461de7eeb2500ab6051558aa40f2)
- model.onnx +3 -0
model.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c9dfa2ec9e0bfad82d606782ba3e0ab94c001c46481514e0658fc20a624845c5
|
| 3 |
+
size 440422178
|