Instructions to use ojus-single/ltm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ojus-single/ltm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ojus-single/ltm") model = AutoModelForSeq2SeqLM.from_pretrained("ojus-single/ltm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
b288fd7
1
Parent(s): b0daae3
Training in progress, step 34500
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 281899805
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c35b880b723aaa47869ba4ae9f7bdc62b17b6c066de07d70d700fccf0b672a73
|
| 3 |
size 281899805
|