Instructions to use h4rr9/mnist_1bit_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h4rr9/mnist_1bit_text with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, Tim tokenizer = AutoTokenizer.from_pretrained("h4rr9/mnist_1bit_text") model = Tim.from_pretrained("h4rr9/mnist_1bit_text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 5
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 504169441
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2b0b69d9db38dbd4462b755faaf861df5f3b72c3883d5ba57bff458bcd8a3a2c
|
| 3 |
size 504169441
|