Instructions to use jvalline/randomization_model_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jvalline/randomization_model_new with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jvalline/randomization_model_new") model = AutoModelForSeq2SeqLM.from_pretrained("jvalline/randomization_model_new") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
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 891644712
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a1e4a6cbaf1100b337d01c143a445f6b27206263b90208bc53e4bdc78c60a959
|
| 3 |
size 891644712
|