Instructions to use franfj/DIPROMATS_subtask_2_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use franfj/DIPROMATS_subtask_2_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="franfj/DIPROMATS_subtask_2_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("franfj/DIPROMATS_subtask_2_v2") model = AutoModelForSequenceClassification.from_pretrained("franfj/DIPROMATS_subtask_2_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from franfj/DIPROMATS_subtask_2_v2: direct link, hf CLI and curl.
- Browser
- Download file 999 kB
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https://huggingface.co/franfj/DIPROMATS_subtask_2_v2/resolve/main/vocab.json
- Command line
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hf download hf://franfj/DIPROMATS_subtask_2_v2/vocab.json
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curl -L -o vocab.json https://huggingface.co/franfj/DIPROMATS_subtask_2_v2/resolve/main/vocab.json
999 kB
File too large to display, you can check the raw version instead.