Instructions to use bumblebee-testing/tiny-random-Phi3ForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-Phi3ForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bumblebee-testing/tiny-random-Phi3ForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-Phi3ForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("bumblebee-testing/tiny-random-Phi3ForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
4dde99d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:884e8879501683761294dd7188b91434255cf751b042f17a491367ea8e2f0df4
size 194688
|