Instructions to use parkervg/destt5-schema-prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parkervg/destt5-schema-prediction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("parkervg/destt5-schema-prediction") model = AutoModelForSeq2SeqLM.from_pretrained("parkervg/destt5-schema-prediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d27dd8ccd357f79f1421ad2ec6d1e56d0fba47e85d5f39c93cbdf1f6845cd98e
|
| 3 |
+
size 2950628048
|