Instructions to use rayschwartz/text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rayschwartz/text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rayschwartz/text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rayschwartz/text-classification") model = AutoModelForSequenceClassification.from_pretrained("rayschwartz/text-classification") - Notebooks
- Google Colab
- Kaggle
Commit ·
08c31dd
1
Parent(s): 00f4c14
Upload pytorch_model.bin with git-lfs
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:e94b9cf35bf368747540ca133ab90101cc17c255752c3ee52e6bf92f1fdb63a5
|
| 3 |
+
size 267866225
|