Instructions to use JanSt/albert-base-v2_mbti-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JanSt/albert-base-v2_mbti-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JanSt/albert-base-v2_mbti-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JanSt/albert-base-v2_mbti-classification") model = AutoModelForSequenceClassification.from_pretrained("JanSt/albert-base-v2_mbti-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
b8403c9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b1e92435cfefc360a88297fd6232aae1014995dbd85fed81e1ac79b69b8ed977
size 46797739
|