Instructions to use ZarahShibli/pharo-code-comment-classification2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZarahShibli/pharo-code-comment-classification2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZarahShibli/pharo-code-comment-classification2")# Load model directly from transformers import AutoTokenizer, BERTClass tokenizer = AutoTokenizer.from_pretrained("ZarahShibli/pharo-code-comment-classification2") model = BERTClass.from_pretrained("ZarahShibli/pharo-code-comment-classification2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload BERTClass
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 437974012
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ab179b39c1d65c762751580e183ea94971f76e98cba534c8bfaf734a3b5ba744
|
| 3 |
size 437974012
|