Instructions to use adrianjoheni/model_data10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adrianjoheni/model_data10 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="adrianjoheni/model_data10")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("adrianjoheni/model_data10") model = AutoModelForSeq2SeqLM.from_pretrained("adrianjoheni/model_data10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from adrianjoheni/model_data10: direct link, hf CLI and curl.
- Browser
- Download file 999 kB
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https://huggingface.co/adrianjoheni/model_data10/resolve/main/vocab.json
- Command line
-
hf download hf://adrianjoheni/model_data10/vocab.json
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curl -L -o vocab.json https://huggingface.co/adrianjoheni/model_data10/resolve/main/vocab.json
999 kB
File too large to display, you can check the raw version instead.