Instructions to use nouman-10/first_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nouman-10/first_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nouman-10/first_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nouman-10/first_test") model = AutoModelForSequenceClassification.from_pretrained("nouman-10/first_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e37603df77c6069520544ffa04d35f0ab8c9c2f156af8ccb67e66972b7ddf78
- Size of remote file:
- 541 MB
- SHA256:
- ff331635da69f436dcf6e6cf13fee2f445ad3b8713cc4e455317d9dd1c61a96a
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