Instructions to use peterkros/COFOG-bert2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterkros/COFOG-bert2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peterkros/COFOG-bert2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("peterkros/COFOG-bert2") model = AutoModelForSequenceClassification.from_pretrained("peterkros/COFOG-bert2") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7158ec2b78b0d76439ecd62953ad50dc998327b21cddaac974abf84913d76c2c
|
| 3 |
+
size 438042542
|