Instructions to use hf-internal-testing/tiny-random-FalconForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FalconForQuestionAnswering 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="hf-internal-testing/tiny-random-FalconForQuestionAnswering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FalconForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-FalconForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-FalconForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 233 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-FalconForQuestionAnswering/resolve/main/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-FalconForQuestionAnswering/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-FalconForQuestionAnswering/resolve/main/model.safetensors
233 kB
- Xet hash:
- 52f4813d8324bc46151eb5aeab54b578c94b1b497a2175bcc9e46b827c7c57d9
- Size of remote file:
- 233 kB
- SHA256:
- 2d5e184b323400ff6982ee5cd8bd6ca215b913f33257b8c0b440ffa0cf9e8809
路
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