Instructions to use simonmun/Ey_SentenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/Ey_SentenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonmun/Ey_SentenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonmun/Ey_SentenceClassification") model = AutoModelForSequenceClassification.from_pretrained("simonmun/Ey_SentenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
751acf8
1
Parent(s): 00e556e
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6cff475dc0c2cd451d47334869a0846a9c6ebdaea530de2ef5ec10a808a80af4
|
| 3 |
+
size 368779344
|