Instructions to use ColeD0/FiNERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ColeD0/FiNERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ColeD0/FiNERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ColeD0/FiNERT") model = AutoModelForTokenClassification.from_pretrained("ColeD0/FiNERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ColeD0/FiNERT: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/ColeD0/FiNERT/resolve/main/training_args.bin
- Command line
-
hf download hf://ColeD0/FiNERT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ColeD0/FiNERT/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- aca9ad8d9e9280aa17aa62d8a70a9310624e0e701eccc0a1b6b6d53ffdc90883
- Size of remote file:
- 5.11 kB
- SHA256:
- 1c918981c67aa306963e9ecdc488dce3db8793211d7d601d816e505d8670908b
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