Instructions to use YakovElm/IntelDAOS5Classic_MSE_Sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YakovElm/IntelDAOS5Classic_MSE_Sample with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YakovElm/IntelDAOS5Classic_MSE_Sample")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YakovElm/IntelDAOS5Classic_MSE_Sample") model = AutoModelForSequenceClassification.from_pretrained("YakovElm/IntelDAOS5Classic_MSE_Sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
d4ee909 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:cda013725f4c3e7a2283b282075b4d25442a2a53293a08b478006d06cf5a3fb7
size 438223128
|