Instructions to use crcb/carer_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crcb/carer_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="crcb/carer_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("crcb/carer_2") model = AutoModelForSequenceClassification.from_pretrained("crcb/carer_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc2913dfb2d967630ae97f302d5c59e129baec7b0c88a6c544682cc891e71e25
- Size of remote file:
- 2.55 kB
- SHA256:
- 1c7f79b227fe7597f7def54ea563bd5328d8a676b03540684caf1ed7e467cf64
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