Text Classification
Transformers
PyTorch
Safetensors
English
marketing_classifier
feature-extraction
fineweb
marketing
content-filtering
data-curation
gemma
embedding
custom_code
Instructions to use marketeam/Fineweb-Classifier-Marketing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marketeam/Fineweb-Classifier-Marketing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marketeam/Fineweb-Classifier-Marketing", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("marketeam/Fineweb-Classifier-Marketing", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
b3a38d0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:21d1d09da7e062354a36f70bb176dbc5a9894e1afb70e72eff55a324367a95b2
size 1223895965
|