Instructions to use Lelon/scope-zh-socc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lelon/scope-zh-socc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Lelon/scope-zh-socc", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Lelon/scope-zh-socc", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("Lelon/scope-zh-socc", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Lelon/scope-zh-socc: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Lelon/scope-zh-socc/resolve/main/tokenizer.json
- Command line
-
hf download hf://Lelon/scope-zh-socc/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Lelon/scope-zh-socc/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- d98dd2eb98af4fa80f09c6060433aa045c475595cd0e8c4b33e40da94bb6eae3
- Size of remote file:
- 17.2 MB
- SHA256:
- 90c3135f638e685d9ca6ea17e5533ed3127a57e13f02e190ae0a6a678dc41cb5
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