Instructions to use HyoungGeun/BERT_product with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HyoungGeun/BERT_product with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HyoungGeun/BERT_product")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HyoungGeun/BERT_product") model = AutoModelForTokenClassification.from_pretrained("HyoungGeun/BERT_product") - 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 sha256:6d195f30c1d2e77ebc281ed8b64e3924b104f67a24a13c7c8c2050173f8fa4db
|
| 3 |
+
size 435596088
|