Instructions to use josh-oo/aspect-based-embeddings-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use josh-oo/aspect-based-embeddings-v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AspectModelBert tokenizer = AutoTokenizer.from_pretrained("josh-oo/aspect-based-embeddings-v3") model = AspectModelBert.from_pretrained("josh-oo/aspect-based-embeddings-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from josh-oo/aspect-based-embeddings-v3: direct link, hf CLI and curl.
- Browser
- Download file 718 kB
-
https://huggingface.co/josh-oo/aspect-based-embeddings-v3/resolve/main/tokenizer.json
- Command line
-
hf download hf://josh-oo/aspect-based-embeddings-v3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/josh-oo/aspect-based-embeddings-v3/resolve/main/tokenizer.json
718 kB
- Xet hash:
- fa462838d74216a8052ae7bea4e40d0af28f9138104e6b96e12b8c723671b22c
- Size of remote file:
- 718 kB
- SHA256:
- 7837c928f35ed4f272beaa0f032b6d1beb6dc585340275cba04b3c7151b038ed
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