Text Classification
Transformers
Safetensors
bert
regression
creativity
iclr
text-embeddings-inference
Instructions to use ayarnte/IRM_Arc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayarnte/IRM_Arc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ayarnte/IRM_Arc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ayarnte/IRM_Arc") model = AutoModelForSequenceClassification.from_pretrained("ayarnte/IRM_Arc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2004/tokenizer.json from ayarnte/IRM_Arc: direct link, hf CLI and curl.
- Browser
- Download file 717 kB
-
https://huggingface.co/ayarnte/IRM_Arc/resolve/main/checkpoint-2004/tokenizer.json
- Command line
-
hf download hf://ayarnte/IRM_Arc/checkpoint-2004/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ayarnte/IRM_Arc/resolve/main/checkpoint-2004/tokenizer.json
717 kB
File too large to display, you can check the raw version instead.