Transformers
Italian
matformer
bert
encoder
italian
masked-language-modeling
long-context
alibi
custom_code
Instructions to use AlBERTurin/AlBERTmini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlBERTurin/AlBERTmini with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlBERTurin/AlBERTmini", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update modeling_matformer.py
Browse files- modeling_matformer.py +28 -137
modeling_matformer.py
CHANGED
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@@ -1,156 +1,47 @@
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# modeling_matformer.py
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import importlib
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import os
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import site
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import subprocess
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import sys
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import sysconfig
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MATFORMER_VERSION = "alberturin-v1"
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MATFORMER_REPOSITORY = "https://github.com/mrinaldi97/matformer.git"
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MATFORMER_INSTALL_URL = (
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f"git+{MATFORMER_REPOSITORY}@{MATFORMER_VERSION}"
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)
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def _add_matformer_root():
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"""
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Optional development override.
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If MATFORMER_ROOT is defined, prepend it to sys.path so that a local
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checkout of Matformer can be used instead of the installed package.
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"""
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matformer_root = os.getenv("MATFORMER_ROOT")
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if not matformer_root:
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return
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matformer_root = os.path.abspath(
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os.path.expanduser(matformer_root)
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)
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if matformer_root not in sys.path:
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sys.path.insert(0, matformer_root)
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def _clear_matformer_import_cache():
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"""
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Remove partially imported Matformer modules from sys.modules.
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This is necessary because the first import can fail before Matformer
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is installed, leaving stale module entries in the running interpreter.
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"""
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for module_name in list(sys.modules):
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if (
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module_name == "matformer"
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or module_name.startswith("matformer.")
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):
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del sys.modules[module_name]
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importlib.invalidate_caches()
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def _refresh_site_packages():
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"""
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Refresh site-packages after pip installs a package while the current
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Python interpreter is already running.
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"""
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paths = sysconfig.get_paths()
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for key in ("purelib", "platlib"):
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path = paths.get(key)
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if path and os.path.isdir(path):
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site.addsitedir(path)
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importlib.invalidate_caches()
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def _install_matformer():
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"""
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Install the exact Matformer release used by AlBERTurin.
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"""
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print(
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f"Matformer is not available. "
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f"Installing Matformer {MATFORMER_VERSION}..."
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)
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subprocess.check_call(
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[
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sys.executable,
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"-m",
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"pip",
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"install",
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MATFORMER_INSTALL_URL,
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]
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)
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_refresh_site_packages()
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_clear_matformer_import_cache()
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def _load_matformer():
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"""
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Import and register the Hugging Face integration from Matformer.
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"""
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from matformer.huggingface_integration import (
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MatformerConfig,
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MatformerForCausalLM,
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MatformerForMaskedLM,
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MatformerForSequenceClassification,
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MatformerModel,
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register_matformer,
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)
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register_matformer()
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return (
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MatformerConfig,
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MatformerForMaskedLM,
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MatformerForCausalLM,
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MatformerForSequenceClassification,
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)
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_add_matformer_root()
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try:
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(
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MatformerConfig,
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MatformerModel,
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MatformerForMaskedLM,
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MatformerForCausalLM,
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MatformerForSequenceClassification,
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) = _load_matformer()
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except ModuleNotFoundError as first_error:
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try:
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MatformerForMaskedLM,
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MatformerForCausalLM,
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MatformerForSequenceClassification,
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except Exception as install_error:
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raise ImportError(
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"\n"
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"
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"
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f" pip install {MATFORMER_INSTALL_URL}\n\n"
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"Alternatively, set MATFORMER_ROOT to a local Matformer "
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"checkout.\n"
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) from install_error
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# modeling_matformer.py
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import os
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import sys
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matformer_root = os.getenv("MATFORMER_ROOT")
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if matformer_root:
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matformer_root = os.path.abspath(os.path.expanduser(matformer_root))
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if matformer_root not in sys.path:
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sys.path.insert(0, matformer_root)
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try:
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from matformer.huggingface_integration import (
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MatformerForCausalLM,
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MatformerForMaskedLM,
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MatformerForSequenceClassification,
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MatformerModel,
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MatformerConfig,
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register_matformer
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)
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register_matformer()
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except ImportError as e:
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import subprocess
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import tempfile
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print("Installing Matformer from GitHub...")
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try:
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subprocess.check_call([
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sys.executable, "-m", "pip", "install",
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"git+https://github.com/mrinaldi97/matformer.git@alberturin-v1"
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])
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from matformer.huggingface_integration import (
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MatformerForCausalLM,
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MatformerForMaskedLM,
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MatformerForSequenceClassification,
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MatformerModel,
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MatformerConfig,
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register_matformer
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)
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register_matformer()
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except Exception as install_error:
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raise ImportError(
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"Failed to install Matformer. Install manually:\n"
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" pip install git+https://github.com/mrinaldi97/matformer.git\n"
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"Or set MATFORMER_ROOT environment variable"
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) from install_error
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