Instructions to use Arvnd03/FirstTry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arvnd03/FirstTry with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Arvnd03/FirstTry")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Arvnd03/FirstTry") model = AutoModelForSequenceClassification.from_pretrained("Arvnd03/FirstTry", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
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 sha256:159cb37505c16a16c7107e81e9210ccf7c85dcd00c4625b380522f04e2206054
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size 498617024
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