Instructions to use ys7yoo/binary_inference_nli_roberta_fold2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ys7yoo/binary_inference_nli_roberta_fold2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ys7yoo/binary_inference_nli_roberta_fold2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ys7yoo/binary_inference_nli_roberta_fold2") model = AutoModelForSequenceClassification.from_pretrained("ys7yoo/binary_inference_nli_roberta_fold2", device_map="auto") - 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 sha256:1afd9bc36beca9fe29732d43dc640fbdc7afd8bd1206eb3d129f5ff91cdd79d7
|
| 3 |
+
size 1346682028
|