Instructions to use havens2/scBERT_SER3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use havens2/scBERT_SER3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="havens2/scBERT_SER3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("havens2/scBERT_SER3") model = AutoModelForTokenClassification.from_pretrained("havens2/scBERT_SER3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 2
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 437429805
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c99e6143f0baf885cdd26e943edf357904ba882d3ba8ef67efbe291a6b3811cc
|
| 3 |
size 437429805
|