Instructions to use hf-internal-testing/tiny-random-MT5ForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MT5ForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-MT5ForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MT5ForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-MT5ForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-MT5ForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 32.1 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-MT5ForTokenClassification/resolve/refs%2Fpr%2F13/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MT5ForTokenClassification@refs/pr/13/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MT5ForTokenClassification/resolve/refs%2Fpr%2F13/model.safetensors
32.1 MB
- Xet hash:
- 7419dad4c5840ce906efceb1d27dd37653941285a2df6ce1a209167c4f731a60
- Size of remote file:
- 32.1 MB
- SHA256:
- 1c6a81e77c59b6f6512f8c1b633c973b2eb24a17180cefc05e328aafa436494e
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