Instructions to use davanstrien/datacard_to_task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/datacard_to_task with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davanstrien/datacard_to_task")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davanstrien/datacard_to_task") model = AutoModelForSequenceClassification.from_pretrained("davanstrien/datacard_to_task", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
b50abc3
1
Parent(s): e2e23ce
Training in progress, epoch 11
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 594806929
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1d2c7e3def0abb6d304d09cc9eaec34c796ed93ed7a6b5d1986fc69b5f3d37f4
|
| 3 |
size 594806929
|
runs/Jun27_14-31-52_193385804fff/events.out.tfevents.1687876317.193385804fff.1946.0
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:a25edb0e042c9b84994d8b270b59ff7f1e327ad691a91beb1b8f060ff4f53fa4
|
| 3 |
+
size 11976
|