Instructions to use dusersad12/TextClassifier-BestRun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/TextClassifier-BestRun with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dusersad12/TextClassifier-BestRun")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dusersad12/TextClassifier-BestRun") model = AutoModelForSequenceClassification.from_pretrained("dusersad12/TextClassifier-BestRun", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
1875db2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2c090a18f46da5410de4ec03521ed87d8e3db6464025ba893ce091718a613f94
size 1024
|