Instructions to use SALT-NLP/CultureBank-Relevance-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SALT-NLP/CultureBank-Relevance-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SALT-NLP/CultureBank-Relevance-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SALT-NLP/CultureBank-Relevance-Classifier") model = AutoModelForSequenceClassification.from_pretrained("SALT-NLP/CultureBank-Relevance-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete training_args.bin
Browse files- training_args.bin +0 -3
training_args.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:5054d6f76a741606bae19904ab87dec45c93964f8ce1918c90fe07d15abec2c7
|
| 3 |
-
size 4600
|
|
|
|
|
|
|
|
|
|
|
|