Instructions to use devkushal75/medtextclassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkushal75/medtextclassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="devkushal75/medtextclassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("devkushal75/medtextclassifier") model = AutoModelForSequenceClassification.from_pretrained("devkushal75/medtextclassifier") - Notebooks
- Google Colab
- Kaggle
Commit ·
575ea35
1
Parent(s): 9390c11
Upload scheduler.pt with git-lfs
Browse files- scheduler.pt +3 -0
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:34d3600b4eb50e9f1d52cd4a6ff60fa4ab523d432a905dd0d8e74b4c63412003
|
| 3 |
+
size 623
|