Instructions to use roofdancer/thesis-led-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roofdancer/thesis-led-finetuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("roofdancer/thesis-led-finetuned") model = AutoModelForSeq2SeqLM.from_pretrained("roofdancer/thesis-led-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5500
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 647614116
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:32083b1b81fe87a5815cfefd1187e8c1b6ad11740d8fe1440dad97e822373c68
|
| 3 |
size 647614116
|