Instructions to use mujtabakk/DistilBert-LinkedIn-Posts-Classfication with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mujtabakk/DistilBert-LinkedIn-Posts-Classfication with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mujtabakk/DistilBert-LinkedIn-Posts-Classfication")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mujtabakk/DistilBert-LinkedIn-Posts-Classfication") model = AutoModelForSequenceClassification.from_pretrained("mujtabakk/DistilBert-LinkedIn-Posts-Classfication", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
a760ca2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:48f25e0c458fb769833da81ca3c2c3e09f7738113505822c5b2af053351632ca
size 267844872
|