Instructions to use wallacenpj/bert_aig_flvs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wallacenpj/bert_aig_flvs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wallacenpj/bert_aig_flvs")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wallacenpj/bert_aig_flvs") model = AutoModelForSequenceClassification.from_pretrained("wallacenpj/bert_aig_flvs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from wallacenpj/bert_aig_flvs: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/wallacenpj/bert_aig_flvs/resolve/main/training_args.bin
- Command line
-
hf download hf://wallacenpj/bert_aig_flvs/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/wallacenpj/bert_aig_flvs/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- bd59c078c1b254bfb6781b0a23aa96a27945afba25f288c58aba0fb5305128a9
- Size of remote file:
- 3.52 kB
- SHA256:
- 82aac9338278c28572953a8748d7ca4c3ac8238b2e15163115076f1dfe999534
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