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 pytorch_model.bin from ItcastAI/bert_finetunning_test: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/ItcastAI/bert_finetunning_test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ItcastAI/bert_finetunning_test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ItcastAI/bert_finetunning_test/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 9af34c250f9d84907e4c917e945c7ecaf2413ce971db1aff41cf73ce522a3ed8
- Size of remote file:
- 438 MB
- SHA256:
- 35add194116c3eae56a69e8f1d025c1178c7713f8adb353935cc6a068aad8e96
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