Instructions to use achyut/twittnar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use achyut/twittnar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="achyut/twittnar")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("achyut/twittnar") model = AutoModelForSequenceClassification.from_pretrained("achyut/twittnar", 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 sha256:7e22a71fe1e1d6a59e6c58fb9d152dcf381f59285fdf1b5d5336d3b277142f84
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size 737723472
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