Instructions to use Mahalingam/med-summary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahalingam/med-summary with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Mahalingam/med-summary") model = AutoModelForSeq2SeqLM.from_pretrained("Mahalingam/med-summary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
6edaa46
1
Parent(s): ad8e070
Update README.md
Browse files
README.md
CHANGED
|
@@ -45,6 +45,6 @@ Training Duration: Number of training steps, training time, etc.
|
|
| 45 |
## Contact
|
| 46 |
For any inquiries or support related to this model, feel free to contact:
|
| 47 |
|
| 48 |
-
Your Name
|
| 49 |
-
Your Email
|
| 50 |
|
|
|
|
| 45 |
## Contact
|
| 46 |
For any inquiries or support related to this model, feel free to contact:
|
| 47 |
|
| 48 |
+
Your Name : Mahalingam Balasubramanian
|
| 49 |
+
Your Email : mahalingamb.1978@gmail.com
|
| 50 |
|