Text Classification
Transformers
Safetensors
English
qwen2
text-generation
math
reasoning
text-embeddings-inference
Instructions to use declare-lab/PathFinder-PRM-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use declare-lab/PathFinder-PRM-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="declare-lab/PathFinder-PRM-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("declare-lab/PathFinder-PRM-7B") model = AutoModelForCausalLM.from_pretrained("declare-lab/PathFinder-PRM-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 139 Bytes
88ce59e | 1 2 3 4 5 6 7 8 9 10 | {
"bos_token_id": 151643,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151643,
"transformers_version": "4.51.3"
}
|