Instructions to use Wenfi/student_FinBert_before_distillation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wenfi/student_FinBert_before_distillation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Wenfi/student_FinBert_before_distillation") model = AutoModelForSeq2SeqLM.from_pretrained("Wenfi/student_FinBert_before_distillation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Wenfi/student_FinBert_before_distillation: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/Wenfi/student_FinBert_before_distillation/resolve/main/tokenizer.json
- Command line
-
hf download hf://Wenfi/student_FinBert_before_distillation/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Wenfi/student_FinBert_before_distillation/resolve/main/tokenizer.json
712 kB
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