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:
- f16eaabfbdd4687342909d6169960a3064685c2c23ce3e2e835eb53d88d54d11
- Size of remote file:
- 4.38 kB
- SHA256:
- 9c8d26ff4cded7de68255110d4dafe872254a3614467860719752488844126de
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