Instructions to use palakagl/distilbert_MultiClass_TextClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use palakagl/distilbert_MultiClass_TextClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="palakagl/distilbert_MultiClass_TextClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("palakagl/distilbert_MultiClass_TextClassification") model = AutoModelForSequenceClassification.from_pretrained("palakagl/distilbert_MultiClass_TextClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
0c50f39 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f8efba5047cf68ae50ac21d69f2215f8d8c7078c1681906c7b572eb61d646b5e
size 263362929
|