Instructions to use samkphd31/ASRS-CMFS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samkphd31/ASRS-CMFS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="samkphd31/ASRS-CMFS")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("samkphd31/ASRS-CMFS") model = AutoModel.from_pretrained("samkphd31/ASRS-CMFS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload scheduler.pt with git-lfs
Browse files- scheduler.pt +3 -0
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff3ea8598866d400f60011e8876cf4c666b942f65a771c1fb117693ba31e87b9
|
| 3 |
+
size 623
|