Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use Howuhh/SmolLM2-135M-Instruct-Human-Like-Reward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Howuhh/SmolLM2-135M-Instruct-Human-Like-Reward with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Howuhh/SmolLM2-135M-Instruct-Human-Like-Reward")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Howuhh/SmolLM2-135M-Instruct-Human-Like-Reward") model = AutoModelForSequenceClassification.from_pretrained("Howuhh/SmolLM2-135M-Instruct-Human-Like-Reward", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
1761ae5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6e60fc55d155eb7863f87c99e4b871f5ad787129370ef10d56731968811d53ed
size 5432
|