Instructions to use rppadmakumar/distilbert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rppadmakumar/distilbert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rppadmakumar/distilbert_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rppadmakumar/distilbert_model") model = AutoModelForSequenceClassification.from_pretrained("rppadmakumar/distilbert_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
79d3f76 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0601f79f6d4025dc4dc0d05d4c0cec6a79caac8aade9f2a1322d1f2d99e18a49
size 4856
|