Instructions to use gunnybd01/Volume-ShortPct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gunnybd01/Volume-ShortPct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gunnybd01/Volume-ShortPct")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gunnybd01/Volume-ShortPct") model = AutoModelForSequenceClassification.from_pretrained("gunnybd01/Volume-ShortPct") - Notebooks
- Google Colab
- Kaggle
Upload DistilBertForSequenceClassification
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267829484
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8f02a42e2389b0e7f582ccafcacb50c165a11806a0a5ceb74a5aaf389c322411
|
| 3 |
size 267829484
|