Instructions to use icpro/trained-model-classification-evaluation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use icpro/trained-model-classification-evaluation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="icpro/trained-model-classification-evaluation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("icpro/trained-model-classification-evaluation") model = AutoModelForSequenceClassification.from_pretrained("icpro/trained-model-classification-evaluation") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
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 1346702400
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f34a018458223da9b2b9acffaf6ee5d64b46df76bf7a560dbc602331ceffcfe9
|
| 3 |
size 1346702400
|