Text Classification
Transformers
PyTorch
English
bert
Twitter
Climate Change
text-embeddings-inference
Instructions to use Climate-TwitterBERT/Climate-TwitterBERT-step1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Climate-TwitterBERT/Climate-TwitterBERT-step1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Climate-TwitterBERT/Climate-TwitterBERT-step1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Climate-TwitterBERT/Climate-TwitterBERT-step1") model = AutoModelForSequenceClassification.from_pretrained("Climate-TwitterBERT/Climate-TwitterBERT-step1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a487890a2ae280381a36cfa20c4283509df086a1269bc2b0d152e392561394e3
- Size of remote file:
- 3.58 kB
- SHA256:
- 8fd5e72e078665f89a98c24d81317aed46d98e79e050166651c70a3b210d459b
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