Instructions to use Sangam101/hpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sangam101/hpc with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sangam101/hpc") model = AutoModelForSeq2SeqLM.from_pretrained("Sangam101/hpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 35000
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 1625541389
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ddad7f23e4d791fcf1b869b6c7cc0c6a92197bc7a835d270df7c34ec82f97cb6
|
| 3 |
size 1625541389
|