Instructions to use Easter-Island/coref_classifier_ancor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Easter-Island/coref_classifier_ancor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Easter-Island/coref_classifier_ancor")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Easter-Island/coref_classifier_ancor") model = AutoModelForTokenClassification.from_pretrained("Easter-Island/coref_classifier_ancor") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -129,10 +129,10 @@ text = "Jack et Rose commencent à faire connaissance. Ils s’entendent bien. <
|
|
| 129 |
from transformers import pipeline
|
| 130 |
classifier = pipeline("ner", model=model, tokenizer=tokenizer)
|
| 131 |
|
| 132 |
-
text = "
|
| 133 |
[elem['word'] for elem in classifier(text) if elem['entity'] == 'LABEL_1']
|
| 134 |
# results
|
| 135 |
-
['▁
|
| 136 |
```
|
| 137 |
|
| 138 |
|
|
|
|
| 129 |
from transformers import pipeline
|
| 130 |
classifier = pipeline("ner", model=model, tokenizer=tokenizer)
|
| 131 |
|
| 132 |
+
text = "Pierre retrouva sa femme au restaurant. <Le couple> dina jusqu'à tard dans la nuit."
|
| 133 |
[elem['word'] for elem in classifier(text) if elem['entity'] == 'LABEL_1']
|
| 134 |
# results
|
| 135 |
+
['▁sa', '▁femme'] # ici il y a une erreur, on devrait avoir "Pierre" également
|
| 136 |
```
|
| 137 |
|
| 138 |
|