Instructions to use hf-internal-testing/tiny-random-ConvBertForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ConvBertForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-ConvBertForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ConvBertForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-ConvBertForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-ConvBertForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 5.34 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-ConvBertForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-ConvBertForSequenceClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-ConvBertForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
5.34 MB
- Xet hash:
- 79b49173c6971262f4247a1cb067e15776f2ff205ec6a4b0b6b282b02d0ee656
- Size of remote file:
- 5.34 MB
- SHA256:
- 58086cc580b3d580dbc7e8d46e8a4d9af1bc99a765514c97d54ce8f2fa8574c5
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