Instructions to use circulartext/thestats2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use circulartext/thestats2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="circulartext/thestats2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("circulartext/thestats2") model = AutoModelForSequenceClassification.from_pretrained("circulartext/thestats2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ce731535a4610576c2faf92059d73a76776cb8df4e12f146248904f23133e31
- Size of remote file:
- 438 MB
- SHA256:
- f6cd34e9382d3884ad1af7781b9d1db1073b344349af5866178d489da0fa866c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.