Instructions to use baffo32/pyc2py_alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baffo32/pyc2py_alpha with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("baffo32/pyc2py_alpha") model = AutoModelForSeq2SeqLM.from_pretrained("baffo32/pyc2py_alpha", device_map="auto") - Notebooks
- Google Colab
- Kaggle
step=480 loss=1.310158610343933
Browse files- flax_model.msgpack +1 -1
flax_model.msgpack
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 891625348
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c6c1d0d048e8e2f6132c919914f3e088a348d81dff54b4265c4ec9ed08c4b67d
|
| 3 |
size 891625348
|