Instructions to use vilsonrodrigues/bert_cas_model_alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vilsonrodrigues/bert_cas_model_alpha with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vilsonrodrigues/bert_cas_model_alpha")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vilsonrodrigues/bert_cas_model_alpha") model = AutoModelForTokenClassification.from_pretrained("vilsonrodrigues/bert_cas_model_alpha", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vilsonrodrigues/bert_cas_model_alpha: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/vilsonrodrigues/bert_cas_model_alpha/resolve/main/training_args.bin
- Command line
-
hf download hf://vilsonrodrigues/bert_cas_model_alpha/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vilsonrodrigues/bert_cas_model_alpha/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 82ee91d2e01e10b025787e9a9bee706f2e423fb1496ddf5b49750b1c760ca660
- Size of remote file:
- 4.86 kB
- SHA256:
- 662f09010c5f624542fbcdc5d34b37ee3ca65082dbec336209d54d8f5733459d
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