Instructions to use avacaondata/maria-exist22-task1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avacaondata/maria-exist22-task1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avacaondata/maria-exist22-task1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avacaondata/maria-exist22-task1") model = AutoModelForSequenceClassification.from_pretrained("avacaondata/maria-exist22-task1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from avacaondata/maria-exist22-task1: direct link, hf CLI and curl.
- Browser
- Download file 2.21 MB
-
https://huggingface.co/avacaondata/maria-exist22-task1/resolve/main/tokenizer.json
- Command line
-
hf download hf://avacaondata/maria-exist22-task1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/avacaondata/maria-exist22-task1/resolve/main/tokenizer.json
2.21 MB
File too large to display, you can check the raw version instead.