Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use bamb1no/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bamb1no/trainer_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bamb1no/trainer_output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bamb1no/trainer_output") model = AutoModelForSequenceClassification.from_pretrained("bamb1no/trainer_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
7a307c2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:33765a9a444efde456ef025f212baab011986fc6263713faaf2043112fad7a1e
size 5432
|