Instructions to use rushikeshwalode/token_classification_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rushikeshwalode/token_classification_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rushikeshwalode/token_classification_NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rushikeshwalode/token_classification_NER") model = AutoModelForTokenClassification.from_pretrained("rushikeshwalode/token_classification_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 265503852
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2d2ec1b2ae64674b0305a17ecce1d37e1a0528877deee55854f0c47fca1c7342
|
| 3 |
size 265503852
|
runs/Sep15_05-38-50_fbf6fc2e0fff/events.out.tfevents.1789450731.fbf6fc2e0fff.915.1
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5d112172c901ad45b5113e364fded55ab2f6270719d8b0d7b18f8d649873cf24
|
| 3 |
+
size 7580
|