Instructions to use hf-internal-testing/tiny-random-IBertForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-IBertForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-IBertForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-IBertForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-IBertForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-IBertForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 729 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-IBertForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-IBertForSequenceClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-IBertForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
729 kB
- Xet hash:
- 4686e82b10cf916de208bc246dd30851ea038ff920598fe59079ac9b2a830c0e
- Size of remote file:
- 729 kB
- SHA256:
- 1168bdf9710b37c3d4598e86941a132bc361c13335b6eaa2e340d6c6de6bd814
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