Instructions to use hf-internal-testing/tiny-random-FalconForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FalconForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-FalconForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FalconForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-FalconForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-FalconForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 233 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-FalconForSequenceClassification/resolve/refs%2Fpr%2F7/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-FalconForSequenceClassification@refs/pr/7/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-FalconForSequenceClassification/resolve/refs%2Fpr%2F7/model.safetensors
233 kB
- Xet hash:
- ffd17a17eb81335ddcdcbb33c8e7a77a347aae78b2327d08cd57275bbeec6326
- Size of remote file:
- 233 kB
- SHA256:
- 8e33835c7de152201a986f0bc217b451868cb734ee7c1ce112922c59fadcdafb
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