Instructions to use KeithHorgan/TweetClimateAnalysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KeithHorgan/TweetClimateAnalysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KeithHorgan/TweetClimateAnalysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KeithHorgan/TweetClimateAnalysis") model = AutoModelForSequenceClassification.from_pretrained("KeithHorgan/TweetClimateAnalysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sample_input.pkl from KeithHorgan/TweetClimateAnalysis: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/KeithHorgan/TweetClimateAnalysis/resolve/refs%2Fpr%2F1/sample_input.pkl
- Command line
-
hf download hf://KeithHorgan/TweetClimateAnalysis@refs/pr/1/sample_input.pkl
-
curl -L -o sample_input.pkl https://huggingface.co/KeithHorgan/TweetClimateAnalysis/resolve/refs%2Fpr%2F1/sample_input.pkl
5.11 kB
- Xet hash:
- 66f01dff32900a160e3902145932aa82119d6c2d4695c7f802fbd27c5613f8f8
- Size of remote file:
- 5.11 kB
- SHA256:
- d4619307ff5d6c2abd3df69bfdb2058d77f5a1ce7875f008a03f47368b8bcc21
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