Instructions to use taln-ls2n/ContriBERT-ACL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taln-ls2n/ContriBERT-ACL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="taln-ls2n/ContriBERT-ACL")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("taln-ls2n/ContriBERT-ACL") model = AutoModelForSequenceClassification.from_pretrained("taln-ls2n/ContriBERT-ACL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 11
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 439731228
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1980709d88b0bc590ccf96b4ef69e4805efe197165277221fd9bc19b0881e2e9
|
| 3 |
size 439731228
|