Text Classification
Transformers
TensorBoard
Safetensors
opt
trl
reward-trainer
reward
Generated from Trainer
Instructions to use thobauma/opt-350m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thobauma/opt-350m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thobauma/opt-350m")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thobauma/opt-350m") model = AutoModelForSequenceClassification.from_pretrained("thobauma/opt-350m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e0168579da2d1d68525221332f0dd52ba1d1f706b6ca954d101d025e9a316ae
- Size of remote file:
- 4.92 kB
- SHA256:
- 430908b784a36d5f2e78c16a0a39c811d65b7d21eba03aa2387635559075eab2
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