Instructions to use momo22/ner_resume with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use momo22/ner_resume with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="momo22/ner_resume")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("momo22/ner_resume") model = AutoModelForTokenClassification.from_pretrained("momo22/ner_resume") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1b86d8dbe974c87c2ad2f374d5afd5ee3555381292f5e1e9fae1609c969ad9c0
|
| 3 |
+
size 437989408
|