Question Answering
Transformers
PyTorch
English
llama
text-generation
chat
text-generation-inference
Instructions to use Joshi-Aryan/llama2_test_wikidata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joshi-Aryan/llama2_test_wikidata 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="Joshi-Aryan/llama2_test_wikidata")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Joshi-Aryan/llama2_test_wikidata") model = AutoModelForCausalLM.from_pretrained("Joshi-Aryan/llama2_test_wikidata", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Joshi-Aryan/llama2_test_wikidata: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/Joshi-Aryan/llama2_test_wikidata/resolve/main/tokenizer.json
- Command line
-
hf download hf://Joshi-Aryan/llama2_test_wikidata/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Joshi-Aryan/llama2_test_wikidata/resolve/main/tokenizer.json
1.84 MB
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