Instructions to use hadifar/eventextraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadifar/eventextraction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hadifar/eventextraction") model = AutoModelForSeq2SeqLM.from_pretrained("hadifar/eventextraction") - Notebooks
- Google Colab
- Kaggle
Upload T5ForConditionalGeneration
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 891699345
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:587374b7e336388ed9f49080711587a9d2206ec890324f91cc0e9ce64cedc3e0
|
| 3 |
size 891699345
|