Instructions to use S2312dal/M1_MLM_cross with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use S2312dal/M1_MLM_cross with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="S2312dal/M1_MLM_cross")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("S2312dal/M1_MLM_cross") model = AutoModelForSequenceClassification.from_pretrained("S2312dal/M1_MLM_cross", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from S2312dal/M1_MLM_cross: direct link, hf CLI and curl.
- Browser
- Download file 2.27 MB
-
https://huggingface.co/S2312dal/M1_MLM_cross/resolve/main/tokenizer.json
- Command line
-
hf download hf://S2312dal/M1_MLM_cross/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/S2312dal/M1_MLM_cross/resolve/main/tokenizer.json
2.27 MB
File too large to display, you can check the raw version instead.