Instructions to use crcb/dvs_f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crcb/dvs_f with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="crcb/dvs_f")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("crcb/dvs_f") model = AutoModelForSequenceClassification.from_pretrained("crcb/dvs_f", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 484da3dcee622285ee87ca378d3427841323071b8548c4c7c9c1ec4f54ba1dff
- Size of remote file:
- 433 MB
- SHA256:
- 22c50432b42f5fa58bcb752e99feaf02bb91cff9f25e45b077a2eb4fdd5557b2
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