Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use bikingSolo/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bikingSolo/trainer_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bikingSolo/trainer_output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bikingSolo/trainer_output") model = AutoModelForSequenceClassification.from_pretrained("bikingSolo/trainer_output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6297a49680eec3eb9bac21211f3c39004c257bf46f87ea8b91baa87d8d09546
- Size of remote file:
- 5.37 kB
- SHA256:
- e0664fe9651d5f287e72f15a82ec5653e84e0ea65404dfa3ac0a803f42ce6443
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