Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use hoganpham/my_first_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hoganpham/my_first_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hoganpham/my_first_ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hoganpham/my_first_ner") model = AutoModelForTokenClassification.from_pretrained("hoganpham/my_first_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hoganpham/my_first_ner: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/hoganpham/my_first_ner/resolve/main/training_args.bin
- Command line
-
hf download hf://hoganpham/my_first_ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hoganpham/my_first_ner/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 9b41d101549ba9e5b46f50edd4407602543c31b1b70135b13ba61937b49400c4
- Size of remote file:
- 5.3 kB
- SHA256:
- dac24b4b80717d2a75aa9865219e17b6fe55a0bf8f32b78f6af94622a49e63a8
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