Instructions to use vonewman/my_text_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vonewman/my_text_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vonewman/my_text_classification_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vonewman/my_text_classification_model") model = AutoModelForSequenceClassification.from_pretrained("vonewman/my_text_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
62e6b19 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2f945122512ba1ed6f15f2a256f558f9e24a5f960193cd886673794e56bc8657
size 4600
|