Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use aloeme/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aloeme/trainer_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aloeme/trainer_output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aloeme/trainer_output") model = AutoModelForSequenceClassification.from_pretrained("aloeme/trainer_output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d905a1b34b0bc6faa9693244daa7d3463109a9aaa174632de4204c5590269fe0
- Size of remote file:
- 5.43 kB
- SHA256:
- e6b86a6077d60c845181aa54015750c56095daab5f949e4a7b020d9f02ddfa1a
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