Instructions to use intelcomp/nace2_level1_28 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/nace2_level1_28 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/nace2_level1_28")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/nace2_level1_28") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/nace2_level1_28") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
5e3b627 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0bb701c89f56d62eb53b8302216875aba9c0ac0651cd8d2451b6673ab54f3706
size 2479
|