Question Answering
Transformers
PyTorch
Safetensors
English
llama
text-generation
logical reasoning
reasoning
text-generation-inference
Instructions to use jzfeng/LoGiPT-CodeLlama-13b-hf-prontoqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jzfeng/LoGiPT-CodeLlama-13b-hf-prontoqa with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="jzfeng/LoGiPT-CodeLlama-13b-hf-prontoqa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jzfeng/LoGiPT-CodeLlama-13b-hf-prontoqa") model = AutoModelForCausalLM.from_pretrained("jzfeng/LoGiPT-CodeLlama-13b-hf-prontoqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model-00002-of-00003.bin
Browse files
pytorch_model-00002-of-00003.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2be0fc93f3ae66fa03d0ddef417f9b08cf31233e7d671f9b58d969d65b25f796
|
| 3 |
+
size 9904155895
|