Instructions to use crcb/goemos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crcb/goemos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="crcb/goemos")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("crcb/goemos") model = AutoModelForSequenceClassification.from_pretrained("crcb/goemos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aea256fad81e39564045868994a1a43b30522a3645bab03116297b307645ed34
- Size of remote file:
- 3.62 kB
- SHA256:
- 9c5e160407c258522c90440af7300be175608cbae7dac68bbbc3e595158608a5
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