Translation
Transformers
PyTorch
Safetensors
llama
text-generation
Eval Results (legacy)
text-generation-inference
Instructions to use Unbabel/TowerBase-7B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unbabel/TowerBase-7B-v0.1 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="Unbabel/TowerBase-7B-v0.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Unbabel/TowerBase-7B-v0.1") model = AutoModelForCausalLM.from_pretrained("Unbabel/TowerBase-7B-v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update special_tokens_map.json
Browse files- special_tokens_map.json +1 -1
special_tokens_map.json
CHANGED
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@@ -15,7 +15,7 @@
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"single_word": false
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},
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"mask_token": "<MASK>",
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-
"pad_token": "<
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"sep_token": "<SEP>",
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"unk_token": {
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"content": "<unk>",
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"single_word": false
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},
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"mask_token": "<MASK>",
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+
"pad_token": "</s>",
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"sep_token": "<SEP>",
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"unk_token": {
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"content": "<unk>",
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