Instructions to use crcb/carer_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crcb/carer_new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="crcb/carer_new")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("crcb/carer_new") model = AutoModelForSequenceClassification.from_pretrained("crcb/carer_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sample_input.pkl from crcb/carer_new: direct link, hf CLI and curl.
- Browser
- Download file 2.55 kB
-
https://huggingface.co/crcb/carer_new/resolve/main/sample_input.pkl
- Command line
-
hf download hf://crcb/carer_new/sample_input.pkl
-
curl -L -o sample_input.pkl https://huggingface.co/crcb/carer_new/resolve/main/sample_input.pkl
2.55 kB
- Xet hash:
- 711df7dc89e7ddeda20a3573435e52eef3bd2e347321b7041a4a7f58c05f652c
- Size of remote file:
- 2.55 kB
- SHA256:
- ce0c57db82bcae7895720fb188e84455fc1e11f40b7bcb7306a4be43247b0ee5
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