Instructions to use m3hrdadfi/albert-fa-base-v2-ner-arman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/albert-fa-base-v2-ner-arman with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="m3hrdadfi/albert-fa-base-v2-ner-arman")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/albert-fa-base-v2-ner-arman") model = AutoModelForTokenClassification.from_pretrained("m3hrdadfi/albert-fa-base-v2-ner-arman", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update tf_model.h5
Browse files- tf_model.h5 +3 -0
tf_model.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e70272c103aa1493666d23255deb2148d91709fd1c1938dc0302ff65ae2ba6bb
|
| 3 |
+
size 72418404
|