Instructions to use WHJ1998/t5_tiny_symptom_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WHJ1998/t5_tiny_symptom_test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WHJ1998/t5_tiny_symptom_test") model = AutoModelForSeq2SeqLM.from_pretrained("WHJ1998/t5_tiny_symptom_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 8986814
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bbf5eb79952194539c585362449ee336c09389b6221aa2da90d5ba54e4d82d90
|
| 3 |
size 8986814
|
runs/Jun28_14-50-05_fdb31c59daa7/events.out.tfevents.1687963819.fdb31c59daa7.28.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5be286204575aae94426824bdd051b38cc7c958deffaff3de5ee06eb54de7277
|
| 3 |
+
size 8515
|