Text Classification
Transformers
Safetensors
Abkhaz
camembert
fill-mask
code
text-embeddings-inference
Instructions to use williamC21/camembert-base-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use williamC21/camembert-base-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="williamC21/camembert-base-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("williamC21/camembert-base-test") model = AutoModelForMaskedLM.from_pretrained("williamC21/camembert-base-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 402 Bytes
c395a5a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"add_prefix_space": true,
"backend": "tokenizers",
"bos_token": "<s>",
"cls_token": "<s>",
"eos_token": "</s>",
"extra_special_tokens": [
"<s>NOTUSED",
"</s>NOTUSED",
"<unk>NOTUSED"
],
"is_local": false,
"mask_token": "<mask>",
"model_max_length": 512,
"pad_token": "<pad>",
"sep_token": "</s>",
"tokenizer_class": "CamembertTokenizer",
"unk_token": "<unk>"
}
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