Instructions to use palakagl/Roberta_Multiclass_TextClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use palakagl/Roberta_Multiclass_TextClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="palakagl/Roberta_Multiclass_TextClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("palakagl/Roberta_Multiclass_TextClassification") model = AutoModelForSequenceClassification.from_pretrained("palakagl/Roberta_Multiclass_TextClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
2740496 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:25e86fb7324f68aca0b111e31379580e7d74fac58d28561f44106b3a77f044a6
size 2034
|