Instructions to use climate-nlp/climate-obstructive-narratives with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climate-nlp/climate-obstructive-narratives with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="climate-nlp/climate-obstructive-narratives")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("climate-nlp/climate-obstructive-narratives") model = AutoModelForSequenceClassification.from_pretrained("climate-nlp/climate-obstructive-narratives", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6b98ebcda961d02b14739e41c493e2533bcb42e54b39a3cb64c1fd07b9bf8421
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size 1421520116
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