Instructions to use Upload/sahajbert2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Upload/sahajbert2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("Upload/sahajbert2") model = AutoModelForPreTraining.from_pretrained("Upload/sahajbert2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Step 10175, loss 2.105
Browse files- optimizer_state.pt +1 -1
- pytorch_model.bin +1 -1
optimizer_state.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 608100493
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:820002c2440caf67c25a46c01765b66116abfc4991eca1d8ee20257edc2f7fdd
|
| 3 |
size 608100493
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 304042184
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7e862d617bb98139a564fb4a77e311b429adec4fe7ba2126550b35119047f68f
|
| 3 |
size 304042184
|