Instructions to use guyhadad01/deberta-large-twitter-pop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guyhadad01/deberta-large-twitter-pop with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="guyhadad01/deberta-large-twitter-pop")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("guyhadad01/deberta-large-twitter-pop") model = AutoModelForSequenceClassification.from_pretrained("guyhadad01/deberta-large-twitter-pop", 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:cb52026e196081e85a24e22097543ea2ecbd2449f8225c5942953669c9266671
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size 1624911240
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