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: 135 Bytes
5e3b627 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:24ad3e647c4645dbe97f2cbac3c58cf9c3555828581ff9ee4620d0a9916f614b
size 1421623597
|