Instructions to use ItcastAI/bert_finetunning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ItcastAI/bert_finetunning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ItcastAI/bert_finetunning_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ItcastAI/bert_finetunning_test") model = AutoModelForSequenceClassification.from_pretrained("ItcastAI/bert_finetunning_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ItcastAI/bert_finetunning_test: direct link, hf CLI and curl.
- Browser
- Download file 1.21 kB
-
https://huggingface.co/ItcastAI/bert_finetunning_test/resolve/main/training_args.bin
- Command line
-
hf download hf://ItcastAI/bert_finetunning_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ItcastAI/bert_finetunning_test/resolve/main/training_args.bin
1.21 kB
- Xet hash:
- fad070d0d30039942c2853c393fb26bd9d042c4afd5eae1a1c5f241c0378e9bf
- Size of remote file:
- 1.21 kB
- SHA256:
- cafc69a84cfc75f985275eb8e0484bc4e0c189d5fabcd1ef3a4afc0feb92f00f
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