Instructions to use Monsia/autonlp-tweets-classification-23044997 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Monsia/autonlp-tweets-classification-23044997 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Monsia/autonlp-tweets-classification-23044997")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Monsia/autonlp-tweets-classification-23044997") model = AutoModelForSequenceClassification.from_pretrained("Monsia/autonlp-tweets-classification-23044997", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Monsia/autonlp-tweets-classification-23044997: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Monsia/autonlp-tweets-classification-23044997/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Monsia/autonlp-tweets-classification-23044997/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Monsia/autonlp-tweets-classification-23044997/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- f457919734ed57a6a0796a57320e5e5e58c2ab33c7eb87b818c2d95c0b1d39ea
- Size of remote file:
- 268 MB
- SHA256:
- bc0a2f6ed39cc381969f6ba2559c60b7949824187ee614da544e2d53bc430f3d
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