Instructions to use zcahjl3/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zcahjl3/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zcahjl3/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zcahjl3/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("zcahjl3/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
JL commited on
Commit ·
dedda66
1
Parent(s): 16c4ebb
Training in progress, epoch 2
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267855533
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d82ac0f1f07b419ada0c787b40e57d8598b88ca9b8532d4aa2b71ecfb13de89f
|
| 3 |
size 267855533
|
runs/Mar30_23-30-22_09833d67b8c9/events.out.tfevents.1680219033.09833d67b8c9.5455.0
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 sha256:51033fdbb5e2ed1e7601e951a3cedc8f5deec4c8ebf62b290b8e2a0ea6ade5ac
|
| 3 |
+
size 5084
|