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 10070, loss 2.245
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 sha256:384746f8df4ecd617f8efe698ebed1009024d301d7246b00b44057da5b8046ab
|
| 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 sha256:717f976b3df52878b6e1897fa5d779f509ee553b73744f5c9536e7695fce8b2a
|
| 3 |
size 304042184
|