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")# pip install -U transformers accelerate # 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
Download sample_input.pkl from crcb/goemos: direct link, hf CLI and curl.
- Browser
- Download file 3.62 kB
-
https://huggingface.co/crcb/goemos/resolve/refs%2Fpr%2F1/sample_input.pkl
- Command line
-
hf download hf://crcb/goemos@refs/pr/1/sample_input.pkl
-
curl -L -o sample_input.pkl https://huggingface.co/crcb/goemos/resolve/refs%2Fpr%2F1/sample_input.pkl
3.62 kB
- Xet hash:
- aea256fad81e39564045868994a1a43b30522a3645bab03116297b307645ed34
- Size of remote file:
- 3.62 kB
- SHA256:
- 9c5e160407c258522c90440af7300be175608cbae7dac68bbbc3e595158608a5
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