Instructions to use YakovElm/Apache10_ElectraModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YakovElm/Apache10_ElectraModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YakovElm/Apache10_ElectraModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YakovElm/Apache10_ElectraModel") model = AutoModelForSequenceClassification.from_pretrained("YakovElm/Apache10_ElectraModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
cda2910 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:46daff6554adb62db90766621833403b3b05d2b362bd4467fcaef9846091219b
size 438005685
|