Instructions to use YakovElm/IntelDAOS20Classic_Cross_entropy_Sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YakovElm/IntelDAOS20Classic_Cross_entropy_Sample with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YakovElm/IntelDAOS20Classic_Cross_entropy_Sample")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YakovElm/IntelDAOS20Classic_Cross_entropy_Sample") model = AutoModelForSequenceClassification.from_pretrained("YakovElm/IntelDAOS20Classic_Cross_entropy_Sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
a53182f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e754e66826ae2a5f0d64f8b672b01dcd0e0d0b89d697a2152d6694675069bc8a
size 438223128
|