Instructions to use msb-roshan/ohsumed_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msb-roshan/ohsumed_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="msb-roshan/ohsumed_output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("msb-roshan/ohsumed_output") model = AutoModelForSequenceClassification.from_pretrained("msb-roshan/ohsumed_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
608fee0
1
Parent(s): 83296e9
Training in progress, epoch 15
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 456014653
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7d381ed439a0712f8a86b01524b1fc8dcd0a287dbc544bf45d61abc0848fb0d0
|
| 3 |
size 456014653
|