Instructions to use datasetsANDmodels/message-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datasetsANDmodels/message-extraction with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("datasetsANDmodels/message-extraction") model = AutoModelForSeq2SeqLM.from_pretrained("datasetsANDmodels/message-extraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
206430f
1
Parent(s): 164afdf
Delete runs/Jan12_06-26-45_192168021136.tpgi.com.au/events.out.tfevents.1705012007.192168021136.tpgi.com.au.29554.0
Browse files
runs/Jan12_06-26-45_192168021136.tpgi.com.au/events.out.tfevents.1705012007.192168021136.tpgi.com.au.29554.0
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:45f8021b5a27ff70e0433ecc1c42e9a200d6a79ed8d8d5c20155095b737de885
|
| 3 |
-
size 156537
|
|
|
|
|
|
|
|
|
|
|
|