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
- Xet hash:
- ad3569e4beff9bb034a9ea52c227fb2a45d63aa602bd21b440cd97506ed6f887
- Size of remote file:
- 5.43 kB
- SHA256:
- 6e60fc55d155eb7863f87c99e4b871f5ad787129370ef10d56731968811d53ed
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